Evaluación de modelos de aprendizaje automático para predecir el riesgo de desarrollar la enfermedad de Parkinson

Abstract

The diseases that human beings suffer in many cases do not have a clear origin, but when it affects a person it prevents them from having an adequate life. Such is the case of Parkinson's disease, it is a neurodegenerative disease that occurs in people at a certain stage of their life, despite the fact that drugs may or may not help to live with this condition, currently there is no cure as such and every time the figures on the number of people suffering from this disease grow because there is no effective treatment. Something that could help to predict it has to do with the use of machine learning, from the data that we have, it can be determined what condition that person will have, that is, whether or not they will develop PD (Parkinson's disease), with the help of studies and data obtained related to the subject, models can be trained to make a better prediction