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WO2023145983A1 - Système fournissant un service d'analyse statistique personnalisé et procédé pour faire fonctionner le système - Google Patents

Système fournissant un service d'analyse statistique personnalisé et procédé pour faire fonctionner le système Download PDF

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Publication number
WO2023145983A1
WO2023145983A1 PCT/KR2022/001320 KR2022001320W WO2023145983A1 WO 2023145983 A1 WO2023145983 A1 WO 2023145983A1 KR 2022001320 W KR2022001320 W KR 2022001320W WO 2023145983 A1 WO2023145983 A1 WO 2023145983A1
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WO
WIPO (PCT)
Prior art keywords
analysis
medical
medical data
information
option information
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Ceased
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PCT/KR2022/001320
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English (en)
Korean (ko)
Inventor
김진섭
임창우
김가연
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Zarathu Co Ltd
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Zarathu Co Ltd
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Publication of WO2023145983A1 publication Critical patent/WO2023145983A1/fr
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    • 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
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/103—Formatting, i.e. changing of presentation of documents
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Definitions

  • the present disclosure relates to a system for providing a customized statistical analysis service.
  • the medical field is a highly specialized field compared to other technical fields, statistical analysis of medical information or medical data is not easy.
  • an analysis tool that performs statistical analysis corresponding to the research method of the uploaded medical thesis is intended to be provided.
  • accessing a system providing a customized statistical analysis service for medical papers uploading a first medical article into the system; providing an analysis tool for performing a statistical analysis corresponding to a research method of the first medical thesis based on original text information described in the first medical thesis; receiving analysis option information through the analysis tool; and analyzing medical data based on the analysis option information and displaying an analysis result of the medical data.
  • a communication device accesses a system that provides a customized statistical analysis service for medical papers, and stores a first medical paper in the system.
  • An electronic device is provided that receives analysis option information through the analysis tool, analyzes medical data based on the analysis option information, and displays analysis results of the medical data through the user interface device.
  • a communication device comprising: processor; and a memory storing instructions executable by the processor, wherein the processor obtains a medical paper by executing the instructions, and performs a statistical analysis of the medical paper based on the original text described in the medical paper. Generates an analysis tool that does, obtains medical data and analysis option information different from the original information described in the medical paper, analyzes the medical data based on the analysis option information, and provides analysis results for the medical data , the server is provided.
  • an analysis tool for performing statistical analysis corresponding to a research method of the uploaded medical thesis may be provided.
  • a customized statistical analysis service may be provided.
  • FIG. 1 is a conceptual diagram illustrating an operation of providing an analysis tool for performing statistical analysis on medical papers in an electronic device and displaying an analysis result of input medical data based on analysis option information, according to an embodiment.
  • FIG. 2 is a flowchart illustrating a method of operating an electronic device according to an exemplary embodiment.
  • FIG. 3 is a diagram for explaining a user interface provided by an analysis tool according to an exemplary embodiment.
  • FIG. 4 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to one embodiment.
  • FIG. 5 is a diagram for describing a screen that is output when medical data requested for analysis is not mapped to analysis option information, according to an exemplary embodiment.
  • FIG. 6 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to another embodiment.
  • FIG. 7 is a block diagram illustrating a configuration of an electronic device according to an exemplary embodiment.
  • FIG. 8 is a flowchart illustrating a method of operating a server according to an embodiment.
  • FIG. 9 is a diagram for explaining a process of generating an analysis tool based on a result of learning medical papers in a server according to an embodiment.
  • FIG. 10 is a block diagram illustrating a configuration of a server according to an embodiment.
  • Accessing a system providing a customized statistical analysis service for medical papers uploading a first medical article into the system; providing an analysis tool for performing a statistical analysis corresponding to the research method of the first medical thesis based on the original medical data described in the first medical thesis; receiving analysis option information through the analysis tool; and analyzing medical data based on the analysis option information and displaying an analysis result of the medical data.
  • “electronic device” may be a smart phone, tablet PC, PC, TV, smart TV, mobile phone, personal digital assistant (PDA), laptop, or non-mobile computing device, but is not limited thereto.
  • the "server” may provide a customized statistical analysis service for medical papers.
  • the server may provide an analysis tool that performs statistical analysis corresponding to research methods of medical papers.
  • the “analysis tool” may be software or a program that provides an analysis result of medical data by applying an analysis method used to obtain a research method of a medical article to medical data.
  • the analysis tool may be generated based on original text information described in medical papers.
  • a research method in a medical paper may refer to a method used to obtain or analyze a research result described in a medical paper.
  • Original information of the medical paper may include at least one of a title, original medical data, original text graph, original text table, and interrogative text described in the medical paper.
  • the analysis tool may provide an analysis result obtained by analyzing medical data according to analysis option information.
  • Analysis option information may be condition information to be considered for performing analysis of medical data in an analysis tool.
  • the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.
  • FIG. 1 is a diagram illustrating an operation of providing an analysis tool for performing statistical analysis on medical papers in an electronic device 10 and displaying an analysis result of input medical data based on analysis option information, according to an embodiment. it is a concept
  • the electronic device 10 may access a system that provides a customized statistical analysis service for medical papers based on a user's input, and upload the medical papers 115 to the system. there is.
  • the medical thesis 115 may be determined as a target thesis to be provided with a customized statistical analysis service.
  • the electronic device 10 may receive information related to the medical thesis 115 .
  • the system may search for the medical paper 115 based on information related to the medical paper 115 and determine the medical paper 115 as a target paper to provide a customized statistical analysis service.
  • the electronic device 10 may provide an analysis tool 125 that performs statistical analysis corresponding to the research method of the medical thesis 115 .
  • the analysis tool 125 may be generated based on original information described in the medical thesis 115 in a system that provides a customized statistical analysis service.
  • the electronic device 10 may execute the analysis tool 125 and display an execution screen of the analysis tool 125 .
  • the electronic device 10 may display an analysis result 135 of input medical data based on analysis option information.
  • the electronic device 10 may receive an input for setting analysis option information to be applied to medical data to be analyzed through the analysis tool 125 .
  • the electronic device 10 may display the analysis result 135 analyzed based on the analysis option information in the analysis tool.
  • FIG. 2 is a flowchart illustrating an operating method of the electronic device 10 according to an exemplary embodiment.
  • the electronic device 10 may access a system providing a customized statistical analysis service for medical papers.
  • the electronic device 10 may upload the first medical paper into the system.
  • a user may upload a first medical paper to be used for statistical analysis into the system.
  • the first medical thesis may be determined as a thesis to be provided with a customized statistical analysis service.
  • the electronic device 10 may receive information related to the first medical thesis.
  • the information related to the first medical paper may include at least one of the title, author, keyword, and identification information of the paper of the first medical paper.
  • the system may search for the first medical paper based on information related to the first medical paper, and determine the first medical paper as a target paper to provide a customized statistical analysis service.
  • the electronic device 10 may provide an analysis tool for performing statistical analysis corresponding to the research method of the first medical thesis, based on the original information described in the first medical thesis.
  • analysis tools can be provided on the web.
  • the analysis tool may provide an analysis result of the medical data by applying the analysis method used to obtain the research method of the medical thesis to the medical data having the same attributes as the original medical data described in the medical thesis. there is.
  • medical data having the same attributes as the original medical data may be a sample value or a set of sample values for a predetermined parameter.
  • the analysis tool may be provided through an execution screen in the system.
  • the electronic device 10 may receive analysis option information through the analysis tool.
  • the analysis option information may be condition information to be considered for performing analysis of medical data in an analysis tool.
  • the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.
  • the electronic device 10 may display a user interface for setting information of at least one parameter used for statistical analysis.
  • information on at least one parameter may include information on parameters corresponding to each of the text graph and text table described in the first medical paper.
  • the electronic device 10 may receive an input for selecting a text graph or text table described in the first medical paper as an analysis result target.
  • the first medical paper may be displayed as thumbnails or page by page.
  • the user may check the first medical paper displayed as a thumbnail and select an original text graph or text table of interest in the first medical paper as an analysis result target.
  • the user can easily select the analysis result target and does not directly set parameters or parameter values used in statistical analysis. It has an effect you don't need.
  • the electronic device 10 may receive an input for selecting an image corresponding to an object as a selected analysis result.
  • the electronic device 10 may provide a user interface through which each of the text graph and text table described in the first medical paper may be selected.
  • the electronic device 10 may receive an input for setting a region corresponding to a selected analysis result target.
  • the electronic device 10 may receive an input for setting a region corresponding to a selected analysis result target in a drag and drop method.
  • the electronic device 10 may receive medical data different from original medical data.
  • the electronic device 10 may recommend analysis option information of at least one parameter used for statistical analysis based on a result of comparing the original medical data and the medical data.
  • the electronic device 10 may display a list of analysis result objects that can be analyzed based on a result of comparing the original medical data and the medical data.
  • the electronic device 10 may leave only a user interface related to an analysis result object that can be analyzed on the screen, and remove a user interface related to an analysis result object that cannot be analyzed from the image.
  • the electronic device 10 may receive analysis option information based on a recommendation result.
  • step S250 the electronic device 10 may analyze the medical data based on the analysis option information and display the analysis result of the medical data.
  • the electronic device 10 may display a user interface for setting analysis option information and an analysis result of medical data together.
  • the electronic device 10 may receive changed analysis option information through a user interface and display an analysis result of medical data according to the changed analysis option information in real time.
  • the electronic device 10 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples.
  • the electronic device 10 may display an analysis result corresponding to a group satisfying a preset condition based on a result of analyzing medical data corresponding to a plurality of groups.
  • the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.
  • the electronic device 10 may receive medical data different from original medical data.
  • the electronic device 10 may check whether at least one parameter set according to the analysis option information is mapped to medical data.
  • parameters used for statistical analysis according to the analysis option information may be a first parameter and a second parameter.
  • the parameters in the medical data input by the user may be the second parameter and the third parameter.
  • the analysis tool cannot perform statistical analysis according to the analysis option information. Accordingly, if the medical data is not mapped to at least one parameter, the electronic device 10 may display a message requesting supplementation or change of the medical data.
  • the electronic device 10 may download information corresponding to an analysis result of medical data from the system.
  • the analysis tool may provide a plurality of formats from which information corresponding to the analysis result can be downloaded.
  • FIG. 3 is a diagram for explaining a user interface provided by an analysis tool according to an exemplary embodiment.
  • the analysis tool may provide an analysis result of the medical data by applying the analysis method used to obtain the research method of the medical paper to the medical data.
  • the analysis tool may perform statistical analysis corresponding to research methods described in medical papers.
  • the analysis tool may provide a user interface requesting statistical analysis for each category.
  • the analysis tool may provide a user interface for setting conditions for statistical analysis for each category. As shown in the image 310 of FIG. 3, the analysis tool may provide a Data item 311, a Table item 312, a Regression item 313, a Plot item 314, and an ROC analysis item 315. there is.
  • a user selects a predetermined item among a plurality of items, a list of sub-items of the selected item may be displayed. Meanwhile, items provided in the user interface may be set based on user input.
  • the electronic device 10 may display a list 316 of sub-items for Plot types on the analysis tool.
  • the electronic device 10 may display a list 316 of sub-items for Plot types on the analysis tool.
  • AAA Plot, BBB Plot, and CCC Plot in the list of sub-items 316 may correspond to graphs described in medical papers.
  • sub-items may be recommended based on a user's analysis request history.
  • the electronic device 10 when an input for selecting a CCC Plot item is received, the electronic device 10, in order to provide an analysis result for the CCC Plot on the analysis tool, at least one parameter used for statistical analysis corresponding to the CCC Plot, A user interface for setting a value of at least one parameter may be displayed. In addition, when at least one parameter and the value of the at least one parameter are set through the user interface, the electronic device 10 may display the analysis result for the CCC Plot through the analysis tool.
  • the analysis tool may provide a recommendation item 321 recommending analysis option information of at least one parameter used for statistical analysis.
  • the electronic device 10 may display a list of recommendation analysis sub-items.
  • the recommended analysis sub-items may be generated based on a result of comparing original medical data with medical data input by a user. For example, based on data having the same attributes between original medical data and medical data input by a user, a statistical analysis method used in medical papers may be recommended.
  • the user interface provided by the analysis tool shown in FIG. 3 is an example, and a user interface composed of other items may be provided.
  • FIG. 4 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to one embodiment.
  • the analysis tool may provide a user interface for setting analysis option information and analysis results of medical data on a single screen.
  • the analysis tool may allocate an area of the user interface 410 for setting analysis option information to the left area of the screen, and allocate an area of the medical data analysis result 420 to the right area. there is.
  • the electronic device 10 may display a screen provided by the analysis tool.
  • the user interface 410 for setting analysis option information includes a first user interface 411 allowing a user to select a predetermined parameter from among a plurality of parameters in setting a parameter used for statistical analysis and parameters
  • a second user interface 412 allowing values to be set may be included.
  • the analysis tool may display analysis results of medical data according to the changed analysis option information in real time.
  • the analysis tool may highlight and display the predetermined analysis result 425 .
  • the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.
  • the analysis tool may display the analysis result 420 by applying a color of a region where a predetermined analysis result 425 is displayed differently from a color of an area where another analysis result is displayed.
  • the analysis tool may provide items 430 through which the user may acquire information corresponding to the analysis result of the medical data.
  • the items 430 may include a copy item, a print item, a download item, and a My Thesis item.
  • the analysis tool may provide information corresponding to the analysis result to the user according to a selected item among the items 430 .
  • the analysis tool when a download item is selected among the items 430, the analysis tool provides a plurality of downloadable file formats, and the user can select a predetermined file format.
  • the electronic device 10 may download information corresponding to an analysis result according to a selected file format.
  • the analysis tool may store information corresponding to the analysis result in the user's thesis work folder registered on the system.
  • the analysis tool may automatically record information corresponding to the analysis result in the user's thesis registered on the system.
  • FIG. 5 is a diagram for describing a screen that is output when medical data requested for analysis is not mapped to analysis option information, according to an exemplary embodiment.
  • the analysis tool may display analysis results of medical data according to the set analysis option information.
  • the analysis tool may perform statistical analysis according to the analysis option information.
  • medical data used to perform statistical analysis according to the analysis option information may be data for a first parameter and a second parameter.
  • the medical data requested for analysis by the user may be data for the second parameter.
  • the analysis tool may display a message 510 requesting additional upload of medical data for the first parameter.
  • medical data used to perform statistical analysis according to the analysis option information may be a first parameter, and a value of the first parameter may satisfy a first range.
  • the medical data requested for analysis by the user is a first parameter, and a value of the first parameter may satisfy the second range.
  • the analysis tool may display a message requesting supplementation of medical data for the first parameter.
  • FIG. 6 is a diagram for explaining a screen displaying analysis results obtained according to a user interface provided by an analysis tool and analysis option information set in the user interface, according to another embodiment.
  • the analysis tool may allocate an area of the user interface 610 for setting analysis option information to the left area of the screen, and allocate an area of the medical data analysis result 620 to the right area. there is.
  • the electronic device 10 may display a screen provided by the analysis tool.
  • the user interface 610 for setting analysis option information may provide images 611, 612, and 615 corresponding to the first medical paper.
  • the user interface 610 may provide images 611, 612, and 615 corresponding to pages constituting the first medical thesis.
  • the user interface 610 may display the first medical paper as a thumbnail.
  • the analysis tool may receive, through the user interface 610, an input for selecting a text graph or text table of interest from a predetermined page among pages of the first medical thesis. For example, the analysis tool may receive an input for selecting an image 614 corresponding to graphs in the second page of the first medical paper.
  • the analysis tool may provide an analysis result of the medical data by applying an analysis method of deriving graphs described in the first medical paper based on original text information to the medical data input by the user. For example, as shown in FIG. 6 , the analysis result of the medical data may be provided as a graph having the same format as the graphs described in the first medical paper.
  • the analysis tool may cancel the display of a mark on a predetermined graph by receiving an input for reselecting the predetermined graph in a state in which all graphs are selected.
  • the analysis tool may provide analysis results corresponding to the graphs other than the unmarked graph.
  • the analysis tool may display a parameter setting window used to obtain a predetermined graph by receiving an input of double-clicking a predetermined graph among graphs.
  • the analysis tool may receive analysis option information for setting parameters or parameter values through the parameter setting window.
  • the analysis tool may provide an analysis result of medical data according to analysis option information.
  • FIG. 7 is a block diagram illustrating a configuration of an electronic device 10 according to an exemplary embodiment.
  • the electronic device 10 may include a communication device 710, a user interface device 720, a memory 730, and a processor 740. However, not all illustrated components are essential components. The electronic device 10 may be implemented with more components than those illustrated, or the electronic device 10 may be implemented with fewer components. Hereinafter, look at the above components.
  • the electronic device 10 shown in FIG. 7 may correspond identically to the electronic device 10 described in FIGS. 1 to 6 .
  • the communication device 710 may communicate with an external device.
  • the communication device 710 may communicate with an external device by being connected to a network by wire or wirelessly.
  • the external device may be the server 20 .
  • the communication device 710 may include a communication module supporting one of various wired/wireless communication methods.
  • the communication module may be a short-distance communication module or a wired communication module.
  • the user interface device 720 may mean a device that receives data from a user to control the electronic device 10 .
  • the processor 740 may control the user interface device 720 to generate and output a user interface screen for receiving a predetermined command or data from a user.
  • the user interface device 720 includes an input unit for receiving an input for controlling the operation of the electronic device 10 and displaying information such as a result of the operation of the electronic device 10 or a state of the electronic device 10.
  • An output unit may be included.
  • the user interface device 720 may include a manipulation panel for receiving a user input and a display panel for displaying a screen.
  • the input unit may include, for example, devices capable of receiving various types of user inputs, such as a keyboard, a physical button, a touch screen, a camera, or a microphone.
  • the output unit may include, for example, a display panel or a speaker.
  • the user interface device 720 is not limited thereto and may include a device supporting various input/output.
  • the user interface device 720 may display a screen executed in a system providing a customized statistical analysis service for medical papers.
  • the user interface device 720 may display an execution screen of an analysis tool provided by the system.
  • the user interface device 720 may receive input of predetermined information from the execution screen of the analysis tool.
  • the user interface device 720 may display information about a result of receiving predetermined information on the execution screen of the analysis tool.
  • the memory 730 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (SD, XD memory, etc.), RAM (RAM; Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) among magnetic memory, magnetic disk, and optical disk It may include at least one type of storage medium.
  • the memory 730 provides at least an analysis tool for performing statistical analysis of medical papers and executes, in the electronic device 10, a method of displaying a result of analyzing medical data based on analysis option information set by a user.
  • One program can be saved.
  • At least one program stored in the memory 730 may be classified into a plurality of modules according to functions.
  • the processor 740 controls the overall operation of the server 20 and may include at least one processor such as a CPU.
  • the processor 740 may include at least one specialized processor corresponding to each function or may be an integrated processor.
  • the processor 740 may execute a program stored in the memory 730, read data or a file stored in the memory 730, or store a new file in the memory 730. Also, the processor 740 may execute instructions stored in the memory 730 .
  • the processor 740 may access a system providing a customized statistical analysis service for medical papers.
  • the processor 740 may upload the first medical paper into the system.
  • the processor 740 receives an input for selecting a file corresponding to the first medical paper through the user interface device 720, and the file corresponding to the first medical paper according to the received input to the system. can be uploaded to
  • the user may upload the first medical paper to be used for statistical analysis into the system.
  • the system may generate an analysis tool that performs a statistical analysis corresponding to the research method of the first medical thesis, based on original information described in the uploaded first medical thesis.
  • the processor 740 may execute an analysis tool that performs statistical analysis on the first medical paper through the system.
  • the processor 740 may control the operation of the analysis tool.
  • the analysis tool may provide an analysis result of the medical data by applying the analysis method used to obtain the research method of the medical thesis to the medical data having the same attributes as the original medical data described in the medical thesis. there is.
  • medical data having the same attribute as the original medical data may be a sample value or a set of sample values for a predetermined parameter.
  • the user interface device 720 may receive analysis option information about analysis options to be used in the analysis tool.
  • the analysis option information may be condition information to be considered for performing analysis of medical data in an analysis tool.
  • the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.
  • the user interface device 720 may display a user interface for setting information of at least one parameter used for statistical analysis.
  • information on at least one parameter may include information on parameters corresponding to each of the text graph and text table described in the first medical paper.
  • the processor 740 may receive an input for selecting a text graph or text table described in the first medical paper as an analysis result target through the user interface device 720 .
  • the first medical paper may be displayed as thumbnails or page by page.
  • the user may check the first medical paper displayed as a thumbnail and select an original text graph or text table of interest in the first medical paper as an analysis result target.
  • the user can easily select the analysis result target and does not directly set parameters or parameter values used in statistical analysis. It has an effect you don't need.
  • the user interface device 720 may receive an input for selecting an image corresponding to a selected analysis result target through a screen provided by an analysis tool.
  • the user interface device 720 may display a user interface through which each of the text graph and text table described in the first medical paper may be selected.
  • the user interface device 720 may receive an input for setting a region corresponding to a selected analysis result target.
  • the user interface device 720 may receive an input for setting a region corresponding to a selected analysis result target in a drag and drop method.
  • the processor 740 may receive medical data different from original medical data.
  • the processor 740 may recommend analysis option information of at least one parameter used for statistical analysis based on a result of comparing the original medical data and the medical data.
  • the processor 740 may acquire a list of analysis result objects that can be analyzed based on a result of comparing the original medical data and the medical data, and the user interface device 720 may display the list.
  • the processor 740 may leave only a user interface related to an analysis result object that can be analyzed on the screen, and remove a user interface related to an analysis result object that cannot be analyzed from the image.
  • the processor 740 may obtain analysis option information based on a recommendation result.
  • the processor 740 may analyze the medical data based on the analysis option information, and the user interface device 720 may display an analysis result of the medical data.
  • the user interface device 720 may display a user interface for setting analysis option information and an analysis result of medical data together.
  • the user interface device 720 may receive the changed analysis option information through the user interface and display the analysis result of the medical data according to the changed analysis option information in real time.
  • the processor 740 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples.
  • the user interface device 720 may display an analysis result corresponding to a group satisfying a preset condition based on a result of analyzing medical data corresponding to a plurality of groups.
  • the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.
  • the processor 740 may receive medical data different from original medical data.
  • the processor 740 may check whether at least one parameter set according to the analysis option information is mapped to medical data.
  • parameters used for statistical analysis according to the analysis option information may be a first parameter and a second parameter.
  • the parameters in the medical data input by the user may be the second parameter and the third parameter.
  • the analysis tool cannot perform statistical analysis according to the analysis option information. Accordingly, if the medical data is not mapped to at least one parameter, the user interface device 720 may display a message requesting supplementation or change of the medical data.
  • the processor 740 may download information corresponding to an analysis result of medical data from the system.
  • the analysis tool may provide a plurality of formats from which information corresponding to the analysis result can be downloaded.
  • the processor 740 may download information corresponding to an analysis result according to the selected file format.
  • FIG. 8 is a flowchart illustrating a method of operating the server 20 according to one embodiment.
  • the server 20 may obtain medical papers. For example, a user may upload a file corresponding to a medical paper onto a system provided by the server 20 .
  • the server 20 may create an analysis tool for statistical analysis of the medical paper based on the original text described in the medical paper. For example, the server 20 generates an analysis tool that performs statistical analysis corresponding to the research method described in the medical paper based on the title, original medical data, original graph, original text table, and original text described in the medical paper. can do. A method of generating an analysis tool will be described with reference to FIG. 9 .
  • the server 20 may obtain medical data and analysis option information different from the original medical data described in the medical paper.
  • the server 20 may receive medical data different from original medical data from the electronic device 10 .
  • medical data different from the original medical data may refer to data having a different source from the original medical data. Attributes of the medical data may be the same as attributes of the original medical data.
  • the server 20 may receive, from the electronic device 10 , analysis option information indicating condition information to be considered for performing analysis of medical data in the analysis tool.
  • the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.
  • step S840 the server 20 may analyze the medical data based on the analysis option information.
  • step S850 the server 20 may provide an analysis result of the medical data.
  • the server 20 may provide, to the electronic device 10, a user interface for setting analysis option information and a screen displaying analysis results of medical data together.
  • the server 20 may receive changed analysis option information from the electronic device 10 and provide the electronic device 10 with an analysis result of medical data according to the changed analysis option information.
  • the server 20 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples.
  • the server 20 may provide the electronic device 10 with an analysis result corresponding to a group satisfying a preset condition, based on a result of analyzing medical data corresponding to a plurality of groups.
  • the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.
  • the server 20 may transmit a message requesting supplementation or change of the medical data to the electronic device 10 .
  • the server 20 may transmit information corresponding to the analysis result to the electronic device 10 .
  • FIG. 9 is a diagram for explaining a process of generating an analysis tool based on a result of learning medical papers in the server 20 according to an embodiment.
  • step S910 the server 20 selects at least one of the title, original medical data, original text graph, original text table, and original text described in the medical thesis 901 from the medical thesis 901 uploaded by the user. information can be extracted.
  • the server 20 may generate an analysis tool for statistical analysis of medical papers based on a result of learning at least one piece of information.
  • the server 20 may learn at least one piece of information extracted from the medical paper 901 .
  • the server 20 determines original medical data used to derive a text graph or text table representing the research method of the medical thesis 901 as an input value, and the text graph or original text representing the research method.
  • a table can be determined as an output value.
  • the server 20 may learn input values and output values, and based on the learned results, create an analysis tool 930 that performs statistical analysis on the original medical data.
  • FIG. 10 is a block diagram showing the configuration of the server 20 according to one embodiment.
  • the server 20 may include a communication device 1010, a memory 1020, and a processor 1030. However, not all illustrated components are essential components.
  • the server 20 may be implemented with more components than those shown, and the server 20 may be implemented with fewer components. Hereinafter, we look at the above components.
  • the server 20 shown in FIG. 10 may correspond identically to the server 20 described in FIGS. 1 to 9
  • the communication device 1010 may communicate with an external device.
  • the communication device 1010 may communicate with an external device by being connected to a network by wire or wirelessly.
  • the external device may be the electronic device 10 .
  • the communication device 1010 may include a communication module supporting one of various wired/wireless communication methods.
  • the communication module may be a short-distance communication module or a wired communication module.
  • the memory 1020 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (SD, XD memory, etc.), RAM (RAM; Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) among magnetic memory, magnetic disk, and optical disk It may include at least one type of storage medium.
  • the memory 1020 includes at least one program for executing, in the server 20, a method of generating an analysis tool providing statistical analysis of medical papers and providing analysis results based on provided medical data and analysis option information. can be saved At least one program stored in the memory 1020 may be classified into a plurality of modules according to functions.
  • the processor 1030 controls the overall operation of the server 20 and may include at least one processor such as a CPU.
  • the processor 1030 may include at least one specialized processor corresponding to each function or may be an integrated processor.
  • the processor 1030 may execute a program stored in the memory 1020, read data or a file stored in the memory 1020, or store a new file in the memory 1020. Also, the processor 1030 may execute instructions stored in the memory 1020 .
  • the processor 1030 may obtain medical papers.
  • the processor 1030 may create an analysis tool that performs statistical analysis of the medical paper based on the original text described in the medical paper.
  • the processor 1030 generates an analysis tool that performs statistical analysis corresponding to the research method described in the medical paper based on the title, original medical data, original graph, original text table, and original text described in the medical paper. can do.
  • the processor 1030 may extract at least one information of a title, original medical data, original text graph, original text table, and original text described in a medical article from a medical article uploaded by a user.
  • the processor 1030 may generate an analysis tool for statistical analysis of medical papers based on a result of learning at least one piece of information.
  • the processor 1030 may learn at least one piece of information extracted from medical papers. For example, the processor 1030 determines original medical data used to derive a text graph or text table representing a research method of a medical paper as an input value, and uses the text graph or text table representing a research method as an output value. can be determined by The processor 1030 may learn an input value and an output value, and based on the learned result, create an analysis tool that performs statistical analysis on the original medical data.
  • the processor 1030 may obtain medical data and analysis option information that are different from the original medical data described in medical papers.
  • the server 20 may receive medical data different from original medical data from the electronic device 10 .
  • medical data different from the original medical data may refer to data having a different source from the original medical data. Attributes of the medical data may be the same as attributes of the original medical data.
  • the processor 1030 may receive, from the electronic device 10 , analysis option information indicating condition information to be considered for performing analysis of medical data in the analysis tool.
  • the analysis option information may include at least one parameter used for statistical analysis and information for setting a value of the at least one parameter.
  • the processor 1030 may analyze the medical data based on the analysis option information.
  • the processor 1030 may provide an analysis result of the medical data to the electronic device 10 through the communication device 1010 .
  • the processor 1030 may provide, to the electronic device 10, a user interface for setting analysis option information and a screen displaying analysis results of medical data together.
  • the processor 1030 may receive changed analysis option information from the electronic device 10 and provide an analysis result of medical data according to the changed analysis option information to the electronic device 10 .
  • the processor 1030 may analyze medical data corresponding to a plurality of groups based on analysis option information for each of a plurality of groups classified according to attributes of a plurality of samples.
  • the processor 1030 may provide the electronic device 10 with an analysis result corresponding to a group satisfying a preset condition, based on a result of analyzing medical data corresponding to a plurality of groups.
  • the preset condition may be a condition that satisfies a numerical value that can be determined as a meaningful result in a medical paper.
  • the processor 1030 sends a message requesting supplementation or change of the medical data to the electronic device 10 through the communication device 1010. can transmit.
  • the processor 1030 transmits information corresponding to the analysis result to the electronic device 10 through the communication device 1010. can be sent to
  • the electronic device 10 and server 20 described in this disclosure may be implemented as hardware components, software components, and/or a combination of hardware components and software components.
  • the present disclosure may be provided in the form of a computer program stored in a computer readable storage medium to perform a method of operating a server and an electronic device.
  • the present disclosure can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates such a program using a computer-readable storage medium.
  • Such computer-readable storage media include read-only memory (ROM), random-access memory (RAM), flash memory, CD-ROMs, CD-Rs, CD+Rs, CD-RWs, CD+RWs, DVD-ROMs , DVD-Rs, DVD+Rs, DVD-RWs, DVD+RWs, DVD-RAMs, BD-ROMs, BD-Rs, BD-R LTHs, BD-REs, magnetic tapes, floppy disks, magneto-optical data storage devices, It can be an optical data storage device, hard disk, solid-state disk (SSD), which can store instructions or software, related data, data files, and data structures stored on a processor or computer so that the processor or computer can execute the instructions. It can be any device capable of providing instructions or software, associated data, data files, and data structures.
  • SSD solid-state disk

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Abstract

L'invention concerne un procédé permettant de faire fonctionner un dispositif électronique, comprenant les étapes consistant : à se connecter à un système permettant de fournir un service d'analyse statistique personnalisé pour un article médical ; à télécharger un premier article médical vers le système ; à fournir un outil d'analyse pour effectuer une analyse statistique correspondant à un procédé de recherche du premier article médical, sur la base de données médicales d'article d'origine divulguées dans le premier article médical ; à recevoir des informations d'option d'analyse par le biais de l'outil d'analyse ; et à analyser des données médicales sur la base des informations d'option d'analyse et à afficher le résultat d'analyse des données médicales.
PCT/KR2022/001320 2022-01-25 2022-01-25 Système fournissant un service d'analyse statistique personnalisé et procédé pour faire fonctionner le système Ceased WO2023145983A1 (fr)

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KR10-2022-0010769 2022-01-25
KR1020220010769A KR102485460B1 (ko) 2022-01-25 2022-01-25 맞춤형 통계 분석 서비스를 제공하는 시스템 및 시스템의 동작 방법

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WO2023145983A1 true WO2023145983A1 (fr) 2023-08-03

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008181188A (ja) * 2007-01-23 2008-08-07 Kokusai Research Academy:Kk 健康関連情報提供システム
JP2010277534A (ja) * 2009-06-01 2010-12-09 Hitachi Ltd データ分析システム
KR20150076482A (ko) * 2013-12-27 2015-07-07 성승주 패턴을 이용한 의료정보 분석시스템 및 방법
JP2019533870A (ja) * 2016-08-29 2019-11-21 テラリコン インコーポレイテッド 医用画像インフォマティクス査読システムのためのシステム及び方法
KR20210056598A (ko) * 2019-11-11 2021-05-20 주식회사 테서 머신러닝에 기반한 의료데이터 수집 및 분석 서비스 제공 방법 및 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008181188A (ja) * 2007-01-23 2008-08-07 Kokusai Research Academy:Kk 健康関連情報提供システム
JP2010277534A (ja) * 2009-06-01 2010-12-09 Hitachi Ltd データ分析システム
KR20150076482A (ko) * 2013-12-27 2015-07-07 성승주 패턴을 이용한 의료정보 분석시스템 및 방법
JP2019533870A (ja) * 2016-08-29 2019-11-21 テラリコン インコーポレイテッド 医用画像インフォマティクス査読システムのためのシステム及び方法
KR20210056598A (ko) * 2019-11-11 2021-05-20 주식회사 테서 머신러닝에 기반한 의료데이터 수집 및 분석 서비스 제공 방법 및 시스템

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