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ES2540159A1 - Method for modeling blood glucose level by genetic programming - Google Patents

Method for modeling blood glucose level by genetic programming Download PDF

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Publication number
ES2540159A1
ES2540159A1 ES201331726A ES201331726A ES2540159A1 ES 2540159 A1 ES2540159 A1 ES 2540159A1 ES 201331726 A ES201331726 A ES 201331726A ES 201331726 A ES201331726 A ES 201331726A ES 2540159 A1 ES2540159 A1 ES 2540159A1
Authority
ES
Spain
Prior art keywords
patient
modeling
genetic programming
glucose level
applying
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
ES201331726A
Other languages
Spanish (es)
Other versions
ES2540159B1 (en
Inventor
José Ignacio HIDALGO PÉREZ
Antonio Óscar GARNICA ALCÁZAR
Juan LANCHARES DÁVILA
José Luis RISCO MARTÍN
José Manuel COLMENAR VERDUGO
Alfredo CUESTA INFANTE
Esther MAQUEDA VILLAIZÁN
Marta BOTELLA SERRANO
José Antonio RUBIO GARCÍA
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Universidad Complutense de Madrid
Original Assignee
Universidad Complutense de Madrid
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Universidad Complutense de Madrid filed Critical Universidad Complutense de Madrid
Priority to ES201331726A priority Critical patent/ES2540159B1/en
Priority to PCT/ES2014/000190 priority patent/WO2015079079A1/en
Publication of ES2540159A1 publication Critical patent/ES2540159A1/en
Application granted granted Critical
Publication of ES2540159B1 publication Critical patent/ES2540159B1/en
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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
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)

Abstract

Método para el modelado del nivel de glucemia mediante programación genética. La invención consiste en un método que, aplicando algoritmos evolutivos sobre soluciones aleatorias y datos tomados de un paciente con glucemia, permite establecer un modelado del nivel de glucemia para obtener un modelado del nivel de glucosa en instantes futuros a los momentos de obtención de los datos del paciente. Los datos del paciente son al menos los niveles de glucosa, ingesta e insulina rápida y lenta para un intervalo de tiempo. El algoritmo evolutivo consiste básicamente en aplicar programación genética en su variante de gramáticas evolutivas o evolución gramatical. Es decir, aplicar gramáticas personalizadas en formato BNF, procesos de mapeo personalizados y evaluaciones de error concretas a las soluciones aleatorias o a modelos generados con anterioridad para obtener una expresión que describa y prediga los niveles de glucosa de un paciente. De entre todos los pacientes, el método de la presente invención está especialmente indicado para sujetos con Diabetes Mellitus.Method for modeling the blood glucose level by genetic programming. The invention consists of a method that, by applying evolutionary algorithms on random solutions and data taken from a patient with glycemia, makes it possible to establish a modeling of the glycemia level to obtain a modeling of the glucose level at future moments to the moments of obtaining the data. of the patient. The patient data is at least glucose levels, intake, and fast and slow insulin for a time interval. The evolutionary algorithm basically consists of applying genetic programming in its variant of evolutionary grammars or grammatical evolution. That is, applying custom BNF-format grammars, custom mapping processes, and concrete error evaluations to random solutions or pre-generated models to derive an expression that describes and predicts a patient's glucose levels. Out of all the patients, the method of the present invention is especially indicated for subjects with Diabetes Mellitus.

ES201331726A 2013-11-27 2013-11-27 Method for modeling blood glucose level by genetic programming Active ES2540159B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
ES201331726A ES2540159B1 (en) 2013-11-27 2013-11-27 Method for modeling blood glucose level by genetic programming
PCT/ES2014/000190 WO2015079079A1 (en) 2013-11-27 2014-11-05 Method for modelling the level of glycemia by means of genetic programming

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ES201331726A ES2540159B1 (en) 2013-11-27 2013-11-27 Method for modeling blood glucose level by genetic programming

Publications (2)

Publication Number Publication Date
ES2540159A1 true ES2540159A1 (en) 2015-07-08
ES2540159B1 ES2540159B1 (en) 2016-03-09

Family

ID=53198407

Family Applications (1)

Application Number Title Priority Date Filing Date
ES201331726A Active ES2540159B1 (en) 2013-11-27 2013-11-27 Method for modeling blood glucose level by genetic programming

Country Status (2)

Country Link
ES (1) ES2540159B1 (en)
WO (1) WO2015079079A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12205686B2 (en) * 2020-02-27 2025-01-21 The Cleveland Clinic Foundation Identifying patients for intensive hyperglycemia management
ES2900099A1 (en) 2022-01-12 2022-03-15 Univ Madrid Complutense Method and system for predicting glucose values and alert generation of hypoglycaemia and hyperglycemia (Machine-translation by Google Translate, not legally binding)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005113036A1 (en) * 2004-05-13 2005-12-01 The Regents Of The University Of California Method and apparatus for glucose control and insulin dosing for diabetics
US20080154513A1 (en) * 2006-12-21 2008-06-26 University Of Virginia Patent Foundation Systems, Methods and Computer Program Codes for Recognition of Patterns of Hyperglycemia and Hypoglycemia, Increased Glucose Variability, and Ineffective Self-Monitoring in Diabetes
WO2010019919A1 (en) * 2008-08-14 2010-02-18 University Of Toledo Multifunctional neural network system and uses thereof for glycemic forecasting
US20110077930A1 (en) * 2008-02-12 2011-03-31 Alferness Clifton A Computer-implemented method for providing a personalized tool for estimating 1,5-anhydroglucitol

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005113036A1 (en) * 2004-05-13 2005-12-01 The Regents Of The University Of California Method and apparatus for glucose control and insulin dosing for diabetics
US20080154513A1 (en) * 2006-12-21 2008-06-26 University Of Virginia Patent Foundation Systems, Methods and Computer Program Codes for Recognition of Patterns of Hyperglycemia and Hypoglycemia, Increased Glucose Variability, and Ineffective Self-Monitoring in Diabetes
US20110077930A1 (en) * 2008-02-12 2011-03-31 Alferness Clifton A Computer-implemented method for providing a personalized tool for estimating 1,5-anhydroglucitol
WO2010019919A1 (en) * 2008-08-14 2010-02-18 University Of Toledo Multifunctional neural network system and uses thereof for glycemic forecasting

Also Published As

Publication number Publication date
WO2015079079A1 (en) 2015-06-04
ES2540159B1 (en) 2016-03-09

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