Publication: Algoritmos de clasificación para el apoyo en el diagnóstico de celiaquía
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2022-09-15
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Abstract
La mayoría de las personas que padecen la enfermedad de celiaquía están sin diagnosticar, ya sea porque los síntomas se confunden con otras enfermedades o porque el resultado de las pruebas tiene un retraso excesivo. Este proyecto tiene como objetivo minimizar este problema, facilitando el diagnóstico e identificando la enfermedad en pacientes que no siguen una clínica convencional. Para esto se unirá la medicina con la inteligencia artificial.
De esta manera se realizará un análisis detallado de los datos de los pacientes obtenidos a través de los médicos, desarrollando un algoritmo de Machine Learning para la identificación y clasificación de la información, centrando en los algoritmos de clasificación.
Nowadays, most people with celiac disease are not diagnosed. That is either because symptoms are confused with those of other diseases or just because the results of the tests are excessively delayed. The aim of this project is to try to minimize this problem by facilitating diagnosis and identifying the disease in patients who do not follow a common clinic. Medicine will be combined with artificial intelligence for this purpose. That is how a detailed analysis of the patient data obtained through doctors will be carried out: by developing a machine learning algorithm in this way that will be useful for the identification and classification of information (mostly focused on classification algorithms).
Nowadays, most people with celiac disease are not diagnosed. That is either because symptoms are confused with those of other diseases or just because the results of the tests are excessively delayed. The aim of this project is to try to minimize this problem by facilitating diagnosis and identifying the disease in patients who do not follow a common clinic. Medicine will be combined with artificial intelligence for this purpose. That is how a detailed analysis of the patient data obtained through doctors will be carried out: by developing a machine learning algorithm in this way that will be useful for the identification and classification of information (mostly focused on classification algorithms).
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Trabajo de Fin de Grado en Ingeniería Informática, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2021/2022.