Implementation of Fuzzy Cognitive Maps with Genetic Algorithms for Predicting Type 2 Diabetes Mellitus

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dc.creatorHoyos, William
dc.creatorRuíz, Rander
dc.creatorHoyos, Kenia
dc.date2024-08-20
dc.date.accessioned2025-10-01T23:53:13Z
dc.descriptionType 2 diabetes mellitus is a chronic non-communicable disease caused by a disorder in glucose metabolism, which results in an abnormal increase in glucose concentration in the blood. The late diagnosis of this disease contributes to the increased worldwide rates of morbidity and mortality. The development of models based on artificial intelligence for the prediction of diabetes could accelerate diagnosis. Therefore, the aim of the present study was to develop a prediction model for type 2 diabetes mellitus based on fuzzy cognitive maps trained with a genetic algorithm. The methodology employed consisted of using a dataset from the National Institute of Diabetes and Digestive and Kidney Diseases PIMA Indian population, which contains demographic and clinical information from 768 patients. For training and validation, 70 % of the data was used and the remaining 30 % was used for performance testing. The fuzzy cognitive map model can predict the disease with 99 % accuracy, 98 % precision, and 100 % recall. It is concluded that the model presents a good ability to predict and evaluate the behavior of the variables of interest in type 2 diabetes mellitus, showing its value as a support tool for the timely identification of the disease and support for decision making by the physician.en-US
dc.descriptionLa diabetes mellitus tipo 2 es una enfermedad crónica no transmisible, causada por un trastorno en el metabolismo de la glucosa, que provoca un aumento anormal de su concentración en la sangre. El diagnóstico tardío de esta enfermedad contribuye al aumento de las tasas de morbilidad y mortalidad a nivel mundial. El desarrollo de modelos basados en inteligencia artificial para la predicción de diabetes podría acelerar el diagnóstico. Por tanto, el objetivo del presente estudio fue implementar un modelo de predicción de diabetes mellitus tipo 2 basado en mapas cognitivos difusos entrenado con un algoritmo genético. La metodología empleada consistió en utilizar un conjunto de datos del Instituto Nacional de Diabetes y Enfermedades Digestivas y Renales de la población de indios PIMA, que contiene información demográfica y clínica de 768 pacientes. El 70 % de los datos se empleó para el entrenamiento y validación, y el 30 % restante se utilizó para las pruebas de rendimiento. El modelo de mapas cognitivos difusos puede predecir la enfermedad con un 99 % de exactitud, 98 % de precisión y recall de 100 %. Se concluye que el modelo presenta una buena capacidad para predecir y evaluar el comportamiento de las variables de interés en la diabetes mellitus tipo 2, mostrando su valor como herramienta de soporte en la identificación oportuna de la enfermedad y apoyo a la toma de decisiones por parte del profesional médico.es-ES
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dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061
dc.identifier10.22430/22565337.3061
dc.identifier.urihttps://hdl.handle.net/20.500.12622/7908
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)es-ES
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061/3314
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061/3315
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061/3428
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061/3538
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3061/3543
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dc.rightsDerechos de autor 2024 TecnoLógicases-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceTecnoLógicas; Vol. 27 No. 60 (2024); e3061en-US
dc.sourceTecnoLógicas; Vol. 27 Núm. 60 (2024); e3061es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectDiabetes Mellitus Tipo 2es-ES
dc.subjectmapas cognitivos difusoses-ES
dc.subjectfactores de riesgoes-ES
dc.subjectalgoritmos de predicciónes-ES
dc.subjectalgoritmos genéticoses-ES
dc.subjectType 2 Diabetes Mellitusen-US
dc.subjectfuzzy cognitive mapsen-US
dc.subjectrisk factorsen-US
dc.subjectprediction algorithmsen-US
dc.subjectgenetic algorithmsen-US
dc.titleImplementation of Fuzzy Cognitive Maps with Genetic Algorithms for Predicting Type 2 Diabetes Mellitusen-US
dc.titleImplementación de mapas cognitivos difusos con algoritmos genéticos para predecir diabetes mellitus tipo 2es-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES

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