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WO2024210214A1 - Dispositif et système d'aide à la création de plan de prévention de fragilisation/tlc/démence et de proposition de vie recommandée - Google Patents

Dispositif et système d'aide à la création de plan de prévention de fragilisation/tlc/démence et de proposition de vie recommandée Download PDF

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Publication number
WO2024210214A1
WO2024210214A1 PCT/JP2024/014176 JP2024014176W WO2024210214A1 WO 2024210214 A1 WO2024210214 A1 WO 2024210214A1 JP 2024014176 W JP2024014176 W JP 2024014176W WO 2024210214 A1 WO2024210214 A1 WO 2024210214A1
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Prior art keywords
frailty
mci
dementia prevention
recommended
dementia
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English (en)
Japanese (ja)
Inventor
勝矢 飯島
辻　哲夫
友規 田中
神谷　哲朗
茂雄 岡本
博久 比留川
英樹 麻生
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Novuscare Inc
University of Tokyo NUC
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Novuscare Inc
University of Tokyo NUC
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics

Definitions

  • the present invention relates to a frailty plan creation support and recommended lifestyle suggestion device, a frailty/MCI/dementia prevention plan creation support and recommended lifestyle suggestion system, a frailty/MCI/dementia prevention plan creation support and recommended lifestyle suggestion method, and a frailty/MCI/dementia prevention plan creation support and recommended lifestyle suggestion program that create a frailty/MCI/dementia prevention plan tailored to the user and support the suggestion of a recommended lifestyle for frailty/MCI/dementia prevention.
  • Frailty refers to a state in which the physical and mental functions and social connections of elderly people become weakened. If frailty is left untreated, it can lead to irreversible impairment of daily living functions, but intervention studies have confirmed that with appropriate measures, it can be restored to a healthy state (called robust) and that it is preventable. MCI is a state in which there is a problem with cognitive function but no interference with daily life; if left untreated, it can lead to dementia, but it has been reported that around 40% of cases are recoverable.
  • the main criteria for determining frailty are the J-CHS criteria set by the National Center for Geriatrics and Gerontology, which state that three or more of the following five items must apply to the individual: "(Unintentional) weight loss of 2 kg or more in six months,””Grip strength of less than 28 kg for men and less than 18 kg for women,””Feeling tired for no apparent reason,””Normal walking speed of less than 1.0 m/s,” and "To the questions, "Do you do light exercise/gymnastics, and/or regular exercise/sports?", each answer must be less than once a week.” These criteria are widely adopted in Japan.
  • nutrition Three things are known to be effective in preventing frailty and MCI or recovering from frailty and MCI: nutrition, exercise, and social participation.
  • nutrition it has been confirmed that food diversity, protein intake, and maintaining oral function are effective.
  • exercise it has been confirmed that moderate-intensity leisure time activity and moderate-intensity transportation activity are effective.
  • social participation it has been confirmed that frequency of going outside and volunteering at least once a month are effective.
  • Patent Document 1 a prediction method as disclosed in Patent Document 1 and an action recommendation device and action recommendation method as disclosed in Patent Document 2 have been developed.
  • Patent Document 1 predicts the risk of developing frailty by scoring answers to questions.
  • the explanatory variables do not include depression level, oral function, muscle mass, etc., which contribute particularly greatly to the prediction, and the prediction cannot be said to be reliable.
  • the technology described in Patent Document 1 predicts the risk of developing frailty, but the prediction method cannot be used to create appropriate advice for preventing frailty for each individual.
  • Patent Document 2 proposes a method of recommending behavior to prevent frailty, but the recommended items are limited to recommended medical services, suggested walking routes, event information, suggested travel routes, softness of ingredients, changes in food quantity, changes in the intensity of exercise menus, ease of putting on and taking off clothes, ease of putting on and taking off shoes, and notification of non-compliance with advice, and the recommendation method does not include behavioral content that has a significant impact on frailty prevention, such as food diversity, protein intake, maintaining oral function, moderate leisure activity, moderate travel activity, frequency of going out, and participation in volunteer activities.
  • behavioral content that has a significant impact on frailty prevention, such as food diversity, protein intake, maintaining oral function, moderate leisure activity, moderate travel activity, frequency of going out, and participation in volunteer activities.
  • Patent Document 2 proposes a method for recommending actions to prevent frailty, but the recommended actions are based on the results of an assessment of the current level of frailty and are not based on a prediction of the risk of developing frailty in the future.
  • the purpose of the present invention is to support the creation of evidence-based frailty, MCI, and dementia prevention plans that utilize past data and are suitable for maintaining and improving the user's condition, and to suggest recommended lifestyles.
  • Another objective of the present invention is to make future predictions about an individual's physical condition and the state of nutrition, exercise, and social participation, and to use the predictions to determine appropriate behavioral changes in nutrition, exercise, and social participation, and to provide advice based on data evidence about the extent to which quantitative improvements should be made.
  • a frailty, MCI, and dementia prevention plan creation support and recommended lifestyle suggestion device that supports the creation of a frailty, MCI, and dementia prevention plan for a user who requires frailty, MCI, and dementia prevention and the suggestion of a recommended lifestyle
  • An initial state information acquisition unit that acquires initial state information regarding a state of a user who requires prevention of frailty, MCI, or dementia at a predetermined time point
  • a goal information acquisition unit that acquires goal information regarding the goal that the user intends to achieve by using the frailty/MCI/dementia prevention plan/recommended lifestyle
  • a frailty, MCI, and dementia prevention content information acquisition unit that acquires frailty, MCI, and dementia prevention content information relating to the frailty, MCI, and dementia prevention plan and recommended lifestyle content
  • a prognosis prediction unit which predicts a prognosis state, which is the state of the user after a predetermined period from the predetermined time point with respect to
  • basic frailty/MCI/dementia prevention content information related to the frailty/MCI/dementia prevention plans and recommended lifestyles used by the users and basic condition information related to the status of the users related to the frailty/MCI/dementia prevention plans and recommended lifestyles are used by the users to generate a prognosis prediction model through machine learning, which predicts the prognosis related to the goal from a specified time point after a specified period of time based on the user's initial condition information and frailty/MCI/dementia prevention content information.
  • the recommended lifestyle refers to a lifestyle recommended to a user when the user himself/herself prevents frailty/MCI/dementia, for example, as part of self-management, and the technical configuration is not particularly different between the creation of a frailty/MCI/dementia prevention plan and the proposal of a recommended lifestyle.
  • support for creating a frailty/MCI/dementia prevention plan can also include support for proposing a recommended lifestyle for frailty/MCI/dementia prevention.
  • frailty generally refers to a state in which the physical and mental functions and social connections of elderly people are weakened; however, frailty in the present invention is not limited to this generally defined frailty and can also include MCI (Mild Cognitive Impairment).
  • MCI Mild Cognitive Impairment
  • the frailty, MCI, and dementia prevention in the present invention specifically refers to various behavioral changes of the user, and is not limited to behavioral changes to prevent frailty before it occurs, but also includes behavioral changes to improve the state or recover from frailty when the user is already frail.
  • the frailty, MCI, and dementia prevention in the present invention specifically refers to various behavioral changes of the user, and is not limited to behavioral changes to prevent MCI or dementia before it occurs, but also includes behavioral changes to improve the state or recover from MCI or dementia when the user is already MCI or dementia.
  • the frailty, MCI, and dementia prevention in the present invention includes frailty prevention, MCI prevention, dementia prevention, frailty and MCI prevention, frailty and dementia prevention, MCI and dementia prevention, and frailty, MCI, and dementia prevention.
  • the frailty, MCI, and dementia prevention plan is a plan for behavioral changes for preventing frailty, MCI, and dementia.
  • the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device (the same applies to systems, methods, and programs) of the present invention can also be considered as a frailty/MCI/dementia prevention plan creation support device, a frailty/MCI/dementia prevention recommended lifestyle suggestion device, a frailty prevention plan creation support device, an MCI prevention plan creation support device, a dementia prevention plan creation support device, a frailty prevention recommended lifestyle suggestion device, an MCI prevention recommended lifestyle suggestion device, and a dementia prevention recommended lifestyle suggestion device.
  • the baseline state information used to generate the prognosis prediction model is information about the state of the experienced user at any point in time related to the time course of the behavioral change that the experienced user made, and it is desirable to include at least two points in time, such as before and after the behavioral change, before and during the behavioral change, two points in time during the behavioral change, or a point in time during the behavioral change and after use.
  • the present invention may include a frailty/MCI/dementia prevention plan/recommended lifestyle suggestion unit that suggests a frailty/MCI/dementia prevention plan/recommended lifestyle based on the prognosis state information output by the prognosis prediction unit and the goal information when the user uses the frailty/MCI/dementia prevention plan/recommended lifestyle.
  • a basic information storage unit stores the basic frailty, MCI, and dementia prevention content information and the basic condition information associated with the experienced user;
  • the system may further include a model generation unit that generates the prognosis prediction model.
  • the model generation unit may use a decision tree or a gradient boosting tree as a machine learning method.
  • Machine learning techniques that can be employed in the present invention are not limited to these.
  • the initial state information, the prognostic state information, and the basic state information may include information on at least one of the J-CHS criteria, frailty check, and frailty medical examination of the user and the former user.
  • a prognosis prediction model is generated based on information on the initial condition information, prognosis condition information, and basic condition information that is evaluated using at least one of the J-CHS criteria, which are standardized methods for evaluating frailty conditions, the frailty checklist, and the frailty health check, and the prognosis is predicted using the prognosis prediction model, improving processing efficiency and prediction accuracy.
  • the frailty check and frailty health check also include test items related to cognitive function.
  • the prognosis prediction unit may predict the prognosis for frailty, MCI, and dementia prevention that has a high contribution to the achievement of the goal, among the frailty, MCI, and dementia prevention plans and recommended lifestyles.
  • the prognosis prediction unit may include at least one of food intake diversity, protein and vegetable intake, oral function maintenance behavior, mobility activity, moderate leisure activity, intense leisure activity, sociability evaluation value, and over-the-counter drugs or prescription drugs for prevention of frailty, MCI, and dementia, which contribute greatly to the achievement of the goal.
  • the frailty/MCI/dementia prevention plan/recommended lifestyle suggestion unit may use an optimization method to suggest the frailty/MCI/dementia prevention plan/recommended lifestyle that is likely to result in the prognostic state close to the goal.
  • the frailty/MCI/dementia prevention plan/recommended lifestyle suggestion unit may propose the frailty/MCI/dementia prevention plan/recommended lifestyle that improves the prognosis prediction for the specific user by a prognosis prediction explanation method that evaluates the importance of input variables that contribute to the prognosis state for the specific user.
  • LIME Local interpretable model-agnostic explanations
  • the present invention may include a second frailty/MCI/dementia prevention plan/recommended lifestyle creation unit that allows an operator to create a second frailty/MCI/dementia prevention plan/recommended lifestyle by referring to the frailty/MCI/dementia prevention plan/recommended lifestyle proposed by the frailty/MCI/dementia prevention plan/recommended lifestyle proposal unit.
  • operators such as public health nurses, including the user, can refer to evidence-based frailty, MCI, and dementia prevention plans and recommended lifestyles proposed using past data, and can also create second frailty, MCI, and dementia prevention plans and recommended lifestyles that incorporate their own knowledge, experience, etc.
  • the second frailty/MCI/dementia prevention plan/recommended lifestyle creation unit may be capable of creating the second frailty/MCI/dementia prevention plan/recommended lifestyle by modifying the frailty/MCI/dementia prevention plan/recommended lifestyle proposed by the frailty/MCI/dementia prevention plan/recommended lifestyle proposal unit.
  • operators such as public health nurses, including the user, can utilize past data to revise evidence-based frailty/MCI/dementia prevention plans and recommended lifestyles, and can easily create second frailty/MCI/dementia prevention plans and recommended lifestyles that incorporate their own knowledge, experience, etc.
  • the prognosis prediction unit includes: The prognosis state of the user for the frailty/MCI/dementia prevention included in the second frailty/MCI/dementia prevention plan and recommended lifestyle may be predicted based on the frailty/MCI/dementia prevention content information for the frailty/MCI/dementia prevention included in the second frailty/MCI/dementia prevention plan and recommended lifestyle and the initial state information.
  • the prognosis based on the second frailty/MCI/dementia prevention plan and recommended lifestyle predicted by the prognosis prediction section can be used to evaluate and modify the second frailty/MCI/dementia prevention plan and recommended lifestyle created using the second frailty/MCI/dementia prevention plan and recommended lifestyle creation section.
  • the present invention may include a prognosis prediction display unit that displays the prognosis state information predicted by the prognosis prediction unit.
  • the present invention may include a proposed plan display unit that displays the frailty/MCI/dementia prevention plan and recommended lifestyle proposed by the frailty/MCI/dementia prevention plan and recommended lifestyle proposal unit.
  • the operator can recognize the frailty/MCI/dementia prevention plan and recommended lifestyle proposed by the frailty/MCI/dementia prevention plan and recommended lifestyle proposal unit through the proposed plan display unit.
  • the present invention is a frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion system that includes the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device and a terminal communicably connected to the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device.
  • the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device includes a basic information storage unit that stores the basic frailty/MCI/dementia prevention content information and the basic condition information associated with the experience user; a user information display terminal that is communicably connected to the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device and includes a statistical information display unit that displays frailty/MCI/dementia prevention statistical information, which is a statistical value related to the frailty/MCI/dementia prevention; It is a system that supports the creation of frailty, MCI, and dementia prevention plans and provides recommended lifestyle suggestions.
  • the statistical information on frailty/MCI/dementia prevention includes, but is not limited to, statistical values of behavioral content related to frailty/MCI/dementia prevention (food diversity, protein/vegetable intake, maintenance of oral function, transportation activities, moderate-intensity leisure activities, vigorous-intensity leisure activities, sociability, over-the-counter drugs or prescription drugs), such as the average value at the previous evaluation, the average value at the most recent evaluation, and the increase/decrease ratios of these values.
  • the present invention may include a usage fee calculation unit that calculates the usage fee for the frailty/MCI/dementia prevention plan creation support/lifestyle recommendation device based on the frailty/MCI/dementia prevention statistical information.
  • the present invention also provides a method for producing a method for manufacturing a semiconductor device comprising the steps of: A method for supporting the creation of a frailty, MCI, and dementia prevention plan and for supporting the creation of a frailty, MCI, and dementia prevention plan and the proposal of a recommended lifestyle according to a user who requires frailty, MCI, and dementia prevention, comprising: Acquiring initial state information regarding a state of a user who requires prevention of frailty, MCI, or dementia at a predetermined time point; A step of acquiring goal information regarding a goal that the user intends to achieve by using the frailty/MCI/dementia prevention plan/recommended lifestyle; A step of acquiring frailty, MCI, and dementia prevention content information regarding the frailty, MCI, and dementia prevention plan and the recommended lifestyle; a step of predicting a prognosis, which is the state of the user after a predetermined period from the predetermined time point with respect to the goal, based on the initial state information
  • basic frailty/MCI/dementia prevention content information related to the contents of the frailty/MCI/dementia prevention plans and recommended lifestyles used by the users and basic state information related to the state of the users related to the frailty/MCI/dementia prevention plans and recommended lifestyles are machine-learned to generate a prognosis prediction model, which predicts the prognosis state related to the goal after a predetermined time point and a predetermined period based on the user's initial state information and the frailty/MCI/dementia prevention content information.
  • the prognosis prediction model is generated by machine learning the basic frailty/MCI/dementia prevention content information related to the frailty/MCI/dementia prevention used by the user and the basic state information related to the state of the user at least two points in time related to the frailty/MCI/dementia prevention plan/recommended lifestyle, and the prognosis state related to the goal after a predetermined time point is predicted based on the user's initial state information and behavior change information.
  • the present invention also provides a program for supporting the creation of a frailty/MCI/dementia prevention plan and making recommended lifestyle suggestions, for causing a computer to execute the method for supporting the creation of a frailty/MCI/dementia prevention plan and making recommended lifestyle suggestions.
  • basic frailty/MCI/dementia prevention content information related to frailty/MCI/dementia prevention used by users and basic state information related to the state of users related to frailty/MCI/dementia prevention plans and recommended lifestyles are machine-learned to generate a prognosis prediction model, which predicts the prognosis state related to the goal after a specified time point and a specified period based on the user's initial state information and behavior change information.
  • the present invention provides technology that utilizes past data to create evidence-based frailty, MCI, and dementia prevention plans that are suitable for maintaining and improving the user's condition, and helps suggest recommended lifestyles.
  • FIG. 1 is a diagram showing a schematic configuration of a frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion system according to a first embodiment of the present invention.
  • FIG. FIG. 2 is a diagram showing an example of a screen displayed on a display unit of the plan creation terminal according to the first embodiment of the present invention.
  • FIG. 4 is a diagram showing an example of a screen displayed on a display unit of the user information display terminal according to the first embodiment of the present invention.
  • FIG. 13 is a diagram showing an example of a screen displayed on a display unit of a plan creation terminal according to a modified example of the first embodiment of the present invention.
  • Example 1 a frailty/MCI/dementia prevention plan creation support/lifestyle recommendation system 1 according to a first embodiment of the present invention will be described in more detail with reference to the drawings.
  • the configuration of the device and system described in this embodiment should be appropriately changed depending on various conditions. In other words, it is not intended to limit the scope of the present invention to the following embodiment.
  • FIG. 1 shows a schematic diagram of a frailty/MCI/dementia prevention plan creation support and lifestyle recommendation system 1 including a support server 3 according to a first embodiment of the present invention.
  • FIG. 2 shows an explanatory diagram showing an example of a frailty/MCI/dementia prevention plan proposal display and a prognosis prediction display.
  • FIG. 3 shows an example of a user information display.
  • the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion system 1 is configured such that the plan creation terminal 2 and the support server 3 are connected via a network N1 such as the Internet, and the support server 3 and the user information display terminal 4 are connected via a network N2 such as the Internet.
  • the networks N1 and N2 connecting the plan creation terminal 2 and the support server 3, and the support server 3 and the user information display terminal 4, may be various communication networks such as the Internet, VPN (Virtual Private Network), intranet, etc.
  • the plan creation terminal 2 and the support server 3, and the support server 3 and the user information display terminal 4 may be connected via appropriate communication means such as wired or wireless.
  • Frailty/MCI/dementia prevention plan creation support and recommended lifestyle proposal system 1 can also be considered as a frailty/MCI/dementia prevention plan support system, a frailty/MCI/dementia prevention recommended lifestyle proposal system, a frailty prevention plan support system, an MCI prevention plan support system, a dementia prevention plan support system, a frailty prevention recommended lifestyle proposal system, an MCI prevention recommended lifestyle proposal system, and a dementia prevention recommended lifestyle proposal system.
  • the people who use the plan creation terminal 2 are mainly the elderly person themselves, those who implement frailty/MCI/dementia prevention activities, public health nurses, physical therapists, and doctors.
  • the plan creation terminal 2 is a personal computer (hereinafter referred to as a PC) and has an input section 20 such as a keyboard, touch panel, mouse, scanner, camera, etc., and an output section 21 such as a display, printer, etc.
  • the plan creation terminal 2 also has storage devices such as a HDD and memory, and a calculation device such as a CPU.
  • the plan creation terminal 2 is not limited to a PC, and may be a mobile terminal such as a smartphone, tablet PC, or mobile phone, for example.
  • the support server 3 is composed of one or more servers (computers) that support the creation of a frailty/MCI/dementia prevention plan based on a computer program.
  • the support server 3 has one or more storage devices, one or more arithmetic devices and communication devices, and may have input units such as a keyboard, touch panel, mouse, scanner, camera, etc., and output units such as a display and printer.
  • It has a user information database 31 (user information storage unit) and a frailty/MCI/dementia prevention program database 32 (frailty/MCI/dementia prevention program storage unit) (hereinafter, database will be referred to as "DB").
  • the support server 3 also has a goal setting unit 33, a prognosis prediction model creation unit 34, a prognosis prediction unit 35, and a frailty/MCI/dementia prevention program/recommended lifestyle suggestion unit 36.
  • the frailty/MCI/dementia prevention program corresponds to the frailty/MCI/dementia prevention plan of the present invention.
  • User information DB31 is a DB that stores user information about users.
  • the user information includes basic information such as the user's gender and age, J-CHS standard evaluation value, frailty check items, frailty health check items, activity time, BMI, muscle mass, blood pressure, oral frailty evaluation value, motor function evaluation value, depression evaluation value, dementia evaluation value, and other state evaluation information, and frailty state evaluation information (behavioral content) such as food intake diversity, protein and vegetable intake, oral function maintenance behavior evaluation value, and sociality evaluation value, and behavioral modification corresponds to modifying these behavioral contents.
  • User information corresponds to information about the state of the user or former user in this invention.
  • the state of a former user associated with a predetermined point in time related to behavioral modification for preventing frailty, MCI, and dementia, for example, before behavioral modification is implemented, during behavioral modification, after behavioral modification, etc. corresponds to the initial state and basic state of this invention, and information about these corresponds to the initial state information and basic state information of this invention, respectively.
  • the user's condition after a specified period from the above-mentioned specified time point corresponds to the prognostic state of the present invention, and information related thereto corresponds to the prognostic state information of the present invention.
  • the user information stored in the user information DB31 may also include the user's disease history information (stroke, diabetes, hyperlipidemia, osteoporosis, chronic renal failure, dialysis, fractures, heart disease), meal amount, snack amount, whether or not the user lives with others, lower leg circumference, thigh circumference, grip strength, pinch strength, standing on one leg with eyes open, TUG (timed up & go test), normal walking speed, maximum walking speed, continuous standing, etc.
  • the user's disease history information stroke, diabetes, hyperlipidemia, osteoporosis, chronic renal failure, dialysis, fractures, heart disease
  • meal amount snack amount
  • snack amount whether or not the user lives with others
  • TUG timed up & go test
  • normal walking speed maximum walking speed, continuous standing, etc.
  • the frailty/MCI/dementia prevention program DB32 stores information on the frailty/MCI/dementia prevention program implemented according to the above user information and goals, such as the name of the frailty/MCI/dementia prevention program, and the amount of behavioral change (behavior content) implemented (time, number of times, intensity).
  • the information on the frailty/MCI/dementia prevention program stored in the frailty/MCI/dementia prevention program DB32 is also information on the recommended lifestyle for preventing frailty/MCI/dementia.
  • the information on the frailty/MCI/dementia prevention program described here corresponds to the frailty/MCI/dementia prevention content information of the present invention.
  • a user of a behavioral change plan for preventing frailty/MCI/dementia that has been implemented in the past corresponds to an experienced user of the present invention
  • information on the frailty/MCI/dementia prevention program that has been implemented in the past corresponds to the basic frailty/MCI/dementia prevention content information of the present invention.
  • the frailty/MCI/dementia prevention program DB32 and the user information DB31 correspond to the basic information storage unit of the present invention.
  • the prognosis prediction model creation unit 34 applies a machine learning algorithm using, for example, a decision tree or a gradient boosting tree to the data stored in the user information DB 31 and the frailty/MCI/dementia prevention program DB 32, and creates a prognosis prediction model for predicting the user's frailty state evaluation information after a certain period of time using the user's frailty state evaluation information and the frailty/MCI/dementia prevention program information as input.
  • the prognosis prediction model creation unit 34 may create a prognosis prediction model by limiting the types of behavioral changes that increase the possibility of achieving the frailty/MCI/dementia prevention goal to those that contribute greatly to goal achievement.
  • the prognosis prediction model creation unit 34 may update the prognosis prediction model using newly added data or corrected data as necessary.
  • the prognosis prediction model creation unit 34 corresponds to the model generation unit of the present invention.
  • the machine learning algorithm corresponds to the machine learning method of the present invention.
  • the goal setting unit 33 sets the J-CHS criteria or frailty check items, frailty state evaluation items based on the frailty medical examination, or the total score as the improvement goal.
  • a specific configuration example of the goal setting unit 33 will be described later as the user screen 210 shown in FIG. 2.
  • the goals of preventing frailty, MCI, and dementia described here correspond to the goal information of the present invention, and the goal setting unit 33 corresponds to the goal information acquisition unit of the present invention.
  • the prognosis prediction unit 35 has a function of predicting changes in the improvement index set by the goal setting unit 33 after a certain period of time using the prognosis prediction model created by the prognosis prediction model creation unit 34 with user information and information on the frailty/MCI/dementia prevention program as input.
  • the above-mentioned prognosis prediction model creation unit 34 and prognosis prediction unit 35 may use the J-CHS criteria, which are standardized evaluation methods, as a method for evaluating the frailty state.
  • the prognosis prediction unit 35 corresponds to the prognosis prediction unit of the present invention.
  • a calculation device (not shown) that acquires the user information and information on the frailty/MCI/dementia prevention program input in the plan creation terminal 2 via the communication unit or from the user information DB 31 and the frailty/MCI/dementia prevention program DB 32 and provides them for use by the prognosis prediction unit 35 corresponds to the initial state information acquisition unit and the frailty/MCI/dementia prevention content information acquisition unit of the present invention.
  • the frailty/MCI/dementia prevention program/recommended lifestyle suggestion unit 36 has a function of proposing a frailty/MCI/dementia prevention program that maximizes the probability of improvement of the improvement index after a certain period of time using the information of the user for whom the plan is to be created input by the user condition input unit 23, the improvement index set by the goal setting unit 33, and the prognosis prediction model created by the prognosis prediction model creation unit 34.
  • an optimization method such as the Nelder-Mead method or Bayesian optimization is used to search for and output a frailty/MCI/dementia prevention program that maximizes the improvement probability value of the improvement index output by the prognosis prediction model.
  • a frailty/MCI/dementia prevention program that contributes to improving the prognosis prediction result of a specific user, such as LIME, may be proposed using a prognosis prediction explanation method that evaluates the importance of input variables that contribute to the prognosis prediction result for the specific user.
  • the frailty/MCI/dementia prevention program/recommended lifestyle suggestion unit 36 proposes a frailty/MCI/dementia prevention program that contributes to improving the prognosis prediction result of the user.
  • the frailty/MCI/dementia prevention program corresponds to the frailty/MCI/dementia prevention plan of the present invention
  • the frailty/MCI/dementia prevention program/recommended lifestyle suggestion unit 36 corresponds to the frailty/MCI/dementia prevention plan/recommended lifestyle suggestion unit of the present invention.
  • the statistical processing unit 37 has a function of performing statistical processing on the user information stored in the user information DB 31.
  • the statistical processing unit 37 calculates various statistical values, described below, that are displayed in the user basic information display unit 42, the frailty state display unit 43, and the behavior content display unit 44 of the user information display terminal 4.
  • the usage fee calculation unit 38 has a function of calculating the usage fee for the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion system 1 based on the statistical values calculated by the statistical processing unit 37.
  • the usage fee calculation unit 38 may, for example, hold a usage fee table that specifies the relationship between the statistical values calculated by the statistical processing unit 37 and the usage fee, or a usage fee calculation formula, and calculate the usage fee based on this.
  • the usage fee calculation unit 38 may not be provided, and the usage fee may be obtained from an external device via a network.
  • the usage fee calculation unit 38 corresponds to the usage fee calculation unit of the present invention.
  • the plan creation unit 24 has a function of determining the goal of frailty, MCI, and dementia prevention and the corresponding frailty, MCI, and dementia prevention program, and creating a final frailty, MCI, and dementia prevention plan. Specifically, it has a function of creating a frailty, MCI, and dementia prevention plan and recommended lifestyle while referring to the frailty, MCI, and dementia prevention program proposed by the frailty, MCI, and dementia prevention program and recommended lifestyle suggestion unit 36 and displayed on the proposed program display unit 26, and the previously created program.
  • plan creation unit 24 can also modify the frailty, MCI, and dementia prevention program proposed by the frailty, MCI, and dementia prevention program and recommended lifestyle suggestion unit 36 according to the user's preferences, changes in the user information, and the experience of the plan creator.
  • a specific configuration example of the plan creation unit 24 will be described later as a user screen 210 shown in FIG. 2.
  • the plan creation unit 24 corresponds to the second frailty, MCI, and dementia prevention plan and recommended lifestyle creation unit of the present invention.
  • the frailty/MCI/dementia prevention program created by the plan creator using the plan creation unit 24 corresponds to the second frailty/MCI/dementia prevention plan/recommended lifestyle of the present invention.
  • the prognosis prediction display unit 25 has a function of displaying predicted values of improvement indicators after a certain period of time when the frailty/MCI/dementia prevention program created by the plan creation unit 24 is implemented.
  • a user of the support server 3 can refer to the results of the prognosis prediction, etc., and appropriately revise the frailty/MCI/dementia prevention plan and recommended lifestyle, and repeatedly display the prognosis prediction of the revised program.
  • a specific configuration example of the prognosis prediction display unit 25 will be described later as the user screen 210 shown in Figure 2.
  • the prognosis prediction display unit 25 corresponds to the prognosis prediction display unit of the present invention.
  • the proposed program display unit 26 has a function of displaying the frailty/MCI/dementia prevention program proposed by the frailty/MCI/dementia prevention program/recommended lifestyle proposal unit 36.
  • a specific configuration example of the proposed program display unit 26 will be described later as the user screen 210 shown in FIG. 2.
  • the proposed program display unit 26 corresponds to the proposed plan display unit of the present invention.
  • the support server 3 configured in this way can automatically propose effective and efficient frailty, MCI and dementia prevention programs that are tailored to the user and based on statistical evidence, by inputting the necessary user information and goal information from the plan creation terminal 2.
  • plan creators can easily create frailty/MCI/Dementia prevention plans based on statistical evidence while referring to the proposed frailty/MCI/Dementia prevention programs.
  • the support server 3 corresponds to the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device of the present invention
  • the plan creation terminal 2 corresponds to the terminal of the present invention, but it is also possible for part or all of the support server 3 and the plan creation terminal 2 to have a configuration equivalent to the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device of the present invention, and the configuration of the frailty/MCI/dementia prevention plan creation support/recommended lifestyle suggestion device and terminal of the present invention is not limited to being the same as the configuration of the support server 3 and the plan creation terminal 2 in the embodiment.
  • the user information display terminal 4 displays various statistical values (described later) calculated by the statistical processing unit 37 on the user information display section 41.
  • the user information display terminal 4 corresponds to the user information display terminal of the present invention.
  • the user information display terminal 4 is a personal computer (hereinafter referred to as a PC) and has at least an output unit such as a display. Although not shown, the user information display terminal 4 also has storage devices such as a HDD or memory, a calculation device such as a CPU, and a communication unit. It may also have input units such as a keyboard, touch panel, mouse, scanner, camera, etc. Note that the user information display terminal 4 is not limited to a PC, and may be a mobile terminal such as a smartphone, tablet PC, or mobile phone. The display included in the output unit of the user information display terminal 4 constitutes the user information display unit 41, which will be described later.
  • Those who use the user information display terminal 4 include local government health officials, health insurance association officials, and insurance company officials, and they check whether the user's frailty status evaluation items have improved or been maintained as a result of behavioral changes brought about by the implementation of the frailty/MCI/dementia prevention program.
  • the person using the user information display terminal 4 pays a usage fee for the frailty/MCI/dementia prevention plan creation support/lifestyle recommendation system 1 based on the displayed information.
  • the usage fee is calculated by the usage fee calculation unit 38.
  • J-CHS criteria The J-CHS criteria are as follows: weight loss (unintentional weight loss of 2 kg or more in 6 months), muscle weakness (grip strength: less than 27 kg for men, less than 18 kg for women), fatigue (feeling tired for no reason for the past 2 weeks), walking speed (usual walking speed less than 1.0 m/sec), and physical activity (answering "less than once a week" to both of the two questions "Do you do light exercise/gymnastics, and do you do regular exercise/sports"), with those who meet three or more of these criteria being considered frail, those who meet one to 22 of these criteria being considered pre-frail, and those who meet none of these criteria being robust (healthy).
  • the frailty check items were invented by the Institute of Gerontology at the University of Tokyo and include a simple method with 11 items and an in-depth check method with 25 items.
  • One method involves having the user place a red sticker on items that indicate a risk and a blue sticker on items that do not apply, allowing for screening and raising awareness at the same time.
  • the user selects either "yes” or "no” to the following questions Q1 to Q11, and then affixes a blue or red sticker as described above.
  • Q1 Compared to people of roughly the same age and sex, do you try to eat healthier meals?
  • Q2 Do you eat both vegetable dishes and main dishes (meat or fish) at least twice a day?
  • Q3 Can you normally chew foods that are as hard as “dried squid” or "pickled radish”?
  • Q4 Do you ever choke on tea or soup?
  • Q5 Do you exercise enough to make yourself sweat for at least 30 minutes at least twice a week for at least one year?
  • Q6 Do you walk or engage in equivalent physical activity for at least one hour a day in your daily life?
  • Q7 Do you think you walk faster than people of roughly the same age and sex?
  • Q8 Have you gone out less compared to last year?
  • Q9 Do you eat with someone at least once a day?
  • Q10 Do you think you are full of energy?
  • Q11 Above all else, are you concerned about forgetfulness?
  • Q1 to Q4 are about nutrition (food, oral cavity), Q5 to Q7 are about exercise, and Q8 to Q11 are about social participation. If there are two “yes” answers to Q1 and Q2, the subject is judged as "It seems that you are well conscious of your eating habits.” If the answer is 0 to 1, the subject is judged as "You may not be conscious enough of your eating habits.” If the answer is 6 to 9 for Q3 to Q11, the subject is judged as "It is highly likely that you are maintaining your "muscle mass.” If the answer is 0 to 5, the subject is judged as "Your muscles may be weakening or you may have some concerns about your health.”
  • the in-depth method involves selecting either "yes” or "no" to answer questions 1 to 25 below (excluding item 12).
  • Item 1 Do you go out alone by bus or train?
  • Item 2 Do you shop for daily necessities?
  • Item 3 Do you deposit or withdraw savings?
  • Item 4 Do you visit friends' houses?
  • Item 5 Do you give advice to family and friends?
  • Item 6 Can you go up stairs without using handrails or holding on to walls?
  • Item 7 Can you stand up from a seated position without holding on to anything?
  • Item 8 Do you walk continuously for about 15 minutes?
  • Item 9 Have you fallen in the past year?
  • Item 10 Are you very concerned about falling?
  • Item 11 Have you lost more than 2-3 kg in the past 6 months?
  • Item 13 Do you find it harder to eat solid foods compared to six months ago?
  • Item 14 Do you ever choke on tea or soup?
  • Item 15 Do you worry about dry mouth?
  • Item 16 Do you go out at least once a week?
  • Item 17 Have you gone out less compared to last year?
  • Item 18 Do people around you say that you forget things, such as "always asking the same thing?"
  • Item 19 Do you look up phone numbers yourself and make calls?
  • Item 20 Do you sometimes not know what date it is?
  • Item 21 (Last 2 weeks) I feel no fulfillment in my daily life.
  • Item 22 (Last 2 weeks) Things that I used to enjoy are no longer enjoyable.
  • Item 23 (Last 2 weeks) Things that I used to do easily now seem tiresome.
  • Item 24 (Last 2 weeks) I don't think I'm a useful person.
  • Item 25 (Last 2 weeks) I feel tired for no reason.
  • Item 12 is considered to be applicable if the BMI (weight (kg) ⁇ height (cm) ⁇ height (cm)) is less than 18.5.
  • BMI weight (kg) ⁇ height (cm) ⁇ height (cm)
  • questions on items 6 to 10 are about exercise
  • items 11 to 12 are about nutrition
  • items 13 to 15 are about oral health
  • items 16 to 17 are about social isolation
  • items 18 to 20 are about dementia
  • items 21 to 25 are about depression.
  • This in-depth frailty check is used to determine whether a person may be able to take advantage of preventive care programs offered by their city or municipality if the total of items 6 to 10 is 3 points or more, the total of items 11 to 12 is 2 points, the total of items 13 to 15 is 2 points or more, or the total of items 1 to 20 is 10 points or more.
  • Frailty checkups are used as a method for early detection of comprehensive program target patients under the long-term care insurance system.
  • This frailty checkup uses a questionnaire containing the following 15 questions. No. 1: How is your current health condition? No. 2: Are you satisfied with your daily life? No. 3: Are you eating three meals a day properly? No. 4: Do you find it harder to eat solid foods (such as dried squid or pickled radish) compared to six months ago? No. 5: Do you ever choke on tea or soup? No. 6: Have you lost more than 2-3 kg in weight in the last six months? No. 7 Do you think your walking speed has slowed down compared to before? No.
  • No. 12 choose from the options of "smoking", “not smoking”, or “quit", and for the other items choose “yes” or "no".
  • No. 1 is health status
  • No. 1 is mental health status
  • No. 3 is eating habits
  • No. 4 to No. 5 are oral function
  • No. 6 is weight change
  • No. 7 to No. 9 are exercise and falls
  • No. 10 to No. 11 are cognitive function
  • No. 12 is smoking
  • No. 13 to No. No. No. 14 belongs to the social participation category
  • No. 15 belongs to the social support category.
  • the goal of the frailty, MCI, and dementia prevention program is to ensure that no items in the J-CHS criteria, frailty checks, or frailty health checks apply, and to reduce the number of items that apply.
  • the Frailty/MCI/Dementia Prevention Program describes how much behavior, including food diversity, protein and vegetable intake, oral function maintenance behavior assessment score, exercise habits, sociality, and use of over-the-counter or prescription medications, will be quantitatively changed.
  • Food diversity refers to 10 food groups: meat, seafood, eggs, milk, soy products, green and yellow vegetables, seaweed, fruit, potatoes, and fats and oils.
  • the number of food groups that are "eaten almost every day” from these food groups can be used as a behavioral evaluation value.
  • Protein and vegetable intake can be evaluated by whether or not a person eats meat or seafood, and vegetables "almost every day.”
  • the oral function maintenance behavior evaluation score may be the total number of items performed, such as visiting the dentist and brushing teeth at least twice a day.
  • the frequency, time, and minutes of travel-related activities (activity level during travel), the frequency, time, and minutes of high-intensity leisure-time activities (high-intensity leisure-time activity level), and the frequency, time, and minutes of medium-intensity leisure-time activities (moderate-intensity leisure-time activity level) may be used as behavioral evaluation values.
  • the Lubben Social Network Scale (LSNS-6) evaluation score or the Ministry of Health, Labor and Welfare Basic Frailty Checklist evaluation score may be used.
  • (User screen) 2 shows an example of a user screen 210 displayed on the output unit 21.
  • one screen of the output unit 21 includes the user goal input unit 22, the plan creation unit 24, the prognosis prediction display unit 25, and the proposed program display unit 26, but the plan creation unit 24, the prognosis prediction display unit 25, and the proposed program display unit 26 may be displayed on the output unit 21 as independent screens.
  • the plan creation unit 24, the prognosis prediction display unit 25, and the proposed program display unit 26 may be displayed on the output unit 21 as independent screens.
  • a method for supporting the creation of a frailty/MCI/dementia prevention plan and a recommended lifestyle suggestion program will also be explained.
  • the user screen 210 is a screen that is displayed on the output unit 21 of the plan creation terminal 2 and operated by a plan creator (operator) such as the user himself/herself or a public health nurse.
  • the user screen 210 includes a "user status" column 211, an "evaluation criteria/evaluation items” column 212, a "current status” column 213, an "improvement target” column 214, an "improvement probability (AI)” column 215, an "improvement probability (plan)” column 216, an "action content AI proposed program” column 218, and an “action content plan” column 219.
  • the "user status" column 211 displays the user's age, sex, BMI, blood pressure, oral frailty assessment value, motor function assessment value, depression assessment value, dementia assessment value, and muscle mass. This user status information is input separately by the user status input unit 23 and stored in the user information DB 31, and the "user status" column 211 displays the user status information acquired from the user information DB 31.
  • the "Current Status” column 213 displays the current status of the five evaluation items of the J-CHS criteria displayed in the "Evaluation Criteria Evaluation Items” column 212. If the item corresponds to "(Unintentional) weight loss of 2 kg or more in 6 months," "Yes” is displayed in the "Current Status” column 214 of the row of this evaluation criterion evaluation item, and if not, "No” is displayed.
  • This frailty status information is input separately by the user status input unit 23 and stored in the user information DB 31, and the "Current Status” column 213 displays the frailty status information obtained from the user information DB 31.
  • the "Improvement Goal” column 214 displays the improvement target values for the five evaluation items of the J-CHS criteria, and the overall evaluation score. These improvement target values are entered, for example, using the input unit 20 such as a mouse, by selecting from a pull-down menu whether or not to select each evaluation criterion evaluation item as an improvement goal. If "grip strength less than 28 kg for men, less than 18 kg for women" is selected as an improvement goal, a " ⁇ " is displayed in the "Improvement Goal” column 214 for the row of this evaluation criterion evaluation item, and if it is not selected as an improvement goal, a "-” is displayed in the "Improvement Goal” column 214.
  • the "Improvement Goal” column 214 together with the input unit 20 such as a mouse, constitutes the user goal input unit 22.
  • the "Improvement Probability (AI)" column 215 displays the improvement probability of the five evaluation items and the overall evaluation score of the J-CHS criteria predicted by the prognosis prediction model generated by machine learning when a user in the state displayed in the "User Status" column 211 and "Current Status” column 213 implements the AI-suggested program in association with the goal information displayed in the "Improvement Goal” column 214.
  • This AI-suggested program is displayed in the "AI-suggested program” column 218, as described below.
  • This "Improvement Probability (AI)" column 215 constitutes the prognosis prediction display unit 25.
  • the “Probability of Improvement (Plan)” column 216 displays the probability of improvement in the five evaluation items of the J-CHS criteria and the overall evaluation score predicted by the prognosis prediction model generated by machine learning, when a user in the state displayed in the "User Status" column 211 and "Current Status” column 213 implements frailty/MCI/dementia prevention included in the input frailty/MCI/dementia prevention plan in association with the goal information displayed in the "Improvement Goal” column 214.
  • This "Probability of Improvement (Plan)” column 216 constitutes the prognosis prediction display unit 25.
  • the "AI Proposed Program” column 218 displays an AI proposed program proposed by the prognosis prediction model generated by the above-mentioned machine learning based on the user status information displayed in the "User Status” column 211 and the “Current Status” column 213, and the goal information displayed in the "Improvement Goal” column 214.
  • the contents of the AI program are displayed for each behavior related to food intake diversity, protein and vegetable intake, oral function maintenance, leisure activities (medium intensity), leisure activities (high intensity), and social frailty, MCI, and dementia prevention displayed in the "Item” column 217.
  • the "AI Proposed Program” column 218 constitutes the proposed program display unit 26.
  • the "Plan” column 219 is used by the planner, such as the individual himself/herself or a public health nurse, to input an action program. For example, for food diversity, the planner inputs the number of items out of 10 food groups using an input unit 20 such as a keyboard, and inputs the other items in the same way.
  • the prognosis prediction section 35 predicts the probability of improvement in the frailty state when the user in the state displayed in the "User state” column 211 and the "Current state” column 213 implements the AI-proposed program in relation to the goal information displayed in the "Improvement goal” column 214, using the prognosis prediction model generated by machine learning in the prognosis prediction model creation section 34, and displays this in the "Probability of improvement (AI)" column 215.
  • the Frailty/MCI/Dementia Prevention Program/Recommended Lifestyle Suggestion Section 36 uses a prognosis prediction model generated by machine learning in the prognosis prediction model creation section 34 based on the status displayed in the "User Status" column 211 and the "Current Status” column 213, and the improvement goal information displayed in the "Improvement Goal” column 214, to propose an AI suggested program, and the contents of the program are displayed in the "AI suggested program" column 218.
  • the prognosis prediction section 35 calculates and displays the probability of improvement when a user in the state displayed in the "User status” column 211 and the "Current status” column 213 implements the program entered in the "Plan” column 219 in relation to the goal information displayed in the "Improvement goal” column 215, using a prognosis prediction model generated by machine learning in the prognosis prediction model creation section 34.
  • the user information display unit 41 includes a user basic information display unit 42, a frailty state display unit 43, and an action content display unit 44.
  • the information displayed is information stored in the user information DB 31 or information obtained by performing predetermined calculation processing such as statistical processing on the information stored in the user information DB 31 in the statistical processing unit 37. , corresponds to the statistical information display unit of the present invention.
  • the user basic information display section 42 displays statistical values, such as average values, of the user's basic information (age, sex, BMI, blood pressure, oral frailty, motor function, depression assessment score, dementia assessment score, muscle mass). These statistical values correspond to the frailty/MCI/dementia prevention statistical information of the present invention.
  • the frailty status display section 43 statistical values of the frailty status ((unintentional) weight loss of 2 kg or more in 6 months, grip strength less than 28 kg for men and less than 18 kg for women, feeling tired for no reason, normal walking speed less than 1.0 m/sec, do you do light exercise or regular sports (no for each)) based on the J-CHS criteria of the user displayed in the evaluation criteria evaluation item column 431 are displayed in the "Percentage of those who met the criteria at the previous evaluation" column 432, "Percentage of those who met the criteria at the latest evaluation” 433, and "Increase/decrease ratio" column 434 to the right of each item in the evaluation criteria evaluation item column 431. These statistical values may be corrected by the user's basic information using statistical processing such as quantification type 1. These statistical values correspond to the frailty/MCI/dementia prevention statistical information of the present invention.
  • the behavioral content display unit 44 may display statistical values of behavioral content related to frailty/MCI/dementia prevention displayed in the item column 415 (food diversity, protein/vegetable intake, oral function maintenance, transportation activities, moderate-intensity leisure activities, vigorous-intensity leisure activities, and sociality), such as the average value at the previous assessment, the average value at the latest assessment, and the rate of increase/decrease of these values, in an "average value at previous assessment” column 416, an "average value at latest assessment” column 417, and an "increase/decrease rate” column 418 to the right of each item in the item column 415.
  • These statistical values correspond to the statistical information for frailty/MCI/dementia prevention in the present invention.
  • Those who use the user information display terminal 4 include health officials from the local government, health insurance association officials, and insurance company officials, and they evaluate the statistics of whether the user's frailty status evaluation items have improved or been maintained as a result of behavioral changes resulting from the implementation of the frailty/MCI/dementia prevention program, and pay a fee according to the evaluation value.
  • Compensation may be based on the expected reduction in nursing care insurance costs for local governments, the expected reduction in payments by health insurance associations, and the expected reduction in payments by private insurance companies.
  • the expected reduction in nursing care insurance costs in a local government, the expected reduction in payments by health insurance societies, and the expected reduction in payments by private insurance may be estimated by creating a prediction model based on machine learning regarding the relationship between the statistics of the basic user information and the statistics of frailty status and the nursing care insurance costs in a local government, the payments by health insurance societies, and the payments by private insurance.
  • the Frailty/MCI/Dementia Prevention Plan Creation Support and Recommended Lifestyle Proposal System 1 can support the creation of MCI prevention plans as well as Frailty prevention plans.
  • the MCI evaluation criteria shown in Table 1 are used as evaluation items.
  • the "MCI (Frailty Health Check Criteria)" column 220 shown in FIG. 4 corresponds to the "Frailty Status (J-CHS Criteria)" columns 212-216 in the user screen 210 shown in FIG. 2.
  • the configuration of the user screen including the “MCI (Frailty Health Check Criteria)" column 220 shown in FIG. 4 has the same configuration as the user screen 210 shown in FIG. 2, except for the "Frailty Status (J-CHS Criteria)" columns 212-216.
  • the "MCI (Frailty Health Check Criteria)" column 220 includes an "Assessment Criteria Evaluation Items” column 221, a "Current Status” column 222, an "Improvement Target” column 223, an "Improvement Probability (AI)” column 224, and an "Improvement Probability (Plan)” column 225.
  • the "Current Status" column 221 in the "MCI (Frailty Health Check Criteria)" column 220 displays the current status in the "Evaluation Criteria Evaluation Items” column 222. If each item applies, a score of 1 is displayed as the evaluation point, and if not, a score of 0 is displayed as the evaluation point. If the total evaluation points for the three items is 1 point or more, the user is deemed to have MCI.
  • This MCI status information is input separately by the user status input unit 23 and stored in the user information DB 31, and the MCI status information obtained from the user information DB 31 is displayed in the "Current Status" column 222.
  • the "Improvement Goal” column 223 of the "MCI (Frailty Health Check Criteria)" column 220 displays the improvement target values for the three evaluation items of the MCI (Frailty Health Check Criteria) and the overall evaluation score. These improvement target values are entered, for example, using the input unit 20 such as a mouse, by selecting from a pull-down menu whether or not to select each evaluation criterion evaluation item as an improvement goal. If selected as an improvement goal, " ⁇ " is displayed in the "Improvement Goal” column 223, and if not selected as an improvement goal, "-” is displayed in the "Improvement Goal” column 223.
  • the "Improvement Probability (AI)" column 224 in the "MCI (Frailty Health Check Criteria)" column 220 displays the improvement probability of the three evaluation items and the overall evaluation score of MCI (Frailty Health Check Criteria) predicted by the prognosis prediction model generated by machine learning when a user in the state displayed in the "User Status" column 211 and "Current Status” column 222 implements the AI-suggested program in relation to the goal information displayed in the "Improvement Goal” column 223.
  • This "Improvement Probability (AI)” column 224 constitutes the prognosis prediction display unit 25.
  • the "Improvement Probability (Plan)" column 225 of the "MCI (Frailty Health Check Criteria)" column 220 displays the improvement probability of the three MCI (Frailty Health Check Criteria) evaluation items and the overall evaluation score predicted by the prognosis prediction model generated by machine learning when a user in the state displayed in the "User Status" column 211 and "Current Status” column 222 implements frailty/MCI/dementia prevention included in the input frailty/MCI/dementia prevention plan in association with the goal information displayed in the "Improvement Goal” column 223.
  • This "Improvement Probability (Plan)” column 225 constitutes the prognosis prediction display section 25.

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Abstract

La présente invention aide à créer un plan de prévention de fragilisation/TLC/démence approprié pour améliorer l'état d'un utilisateur, sur la base de données probantes. Ce dispositif d'aide à la création de plan de prévention de fragilisation/TLC/démence et de proposition de vie recommandée aide à créer un plan de prévention de fragilisation/TLC/démence, et comprend : une unité d'acquisition d'informations d'état initial pour acquérir des informations d'état initial relatives à l'état, à un instant prescrit, d'un utilisateur ayant besoin d'une prévention de fragilisation ou similaire ; une unité d'acquisition d'informations cibles pour acquérir des informations cibles ; une unité d'acquisition d'informations de contenu de prévention de fragilisation ou similaire ; et une unité de prédiction de pronostic qui, à l'aide d'un modèle de prédiction de pronostic généré par apprentissage automatique sur des informations de contenu de prévention de fragilisation ou similaire de base relatives à des contenus de prévention de fragilisation ou similaire utilisés par un utilisateur qui a fait l'expérience de la prévention de fragilisation ou similaire et sur des informations d'état de base relatives à l'état de l'utilisateur en ayant fait l'expérience associées à la prévention de fragilisation ou similaire, et sur la base des informations d'état initial de l'utilisateur et des informations de contenu de prévention de fragilisation ou similaire sur l'utilisateur, prédit l'état de pronostic de l'utilisateur après une période prescrite à partir de l'instant prescrit par rapport à la cible, et émet des informations d'état de pronostic relatives à l'état de pronostic.
PCT/JP2024/014176 2023-04-06 2024-04-05 Dispositif et système d'aide à la création de plan de prévention de fragilisation/tlc/démence et de proposition de vie recommandée Pending WO2024210214A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019021146A (ja) * 2017-07-19 2019-02-07 一般財団法人糧食研究会 高齢者の低栄養又はフレイルの予測方法
JP2022034815A (ja) * 2020-08-19 2022-03-04 株式会社日立製作所 行動推奨装置、および、行動推奨方法
WO2023276977A1 (fr) * 2021-06-28 2023-01-05 富士フイルム株式会社 Dispositif d'aide médicale, procédé de fonctionnement pour dispositif d'aide médicale et programme de fonctionnement pour dispositif d'aide médicale

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019021146A (ja) * 2017-07-19 2019-02-07 一般財団法人糧食研究会 高齢者の低栄養又はフレイルの予測方法
JP2022034815A (ja) * 2020-08-19 2022-03-04 株式会社日立製作所 行動推奨装置、および、行動推奨方法
WO2023276977A1 (fr) * 2021-06-28 2023-01-05 富士フイルム株式会社 Dispositif d'aide médicale, procédé de fonctionnement pour dispositif d'aide médicale et programme de fonctionnement pour dispositif d'aide médicale

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