Comparison of Machine Learning Models for Identification of Depressive Patients through Motor Activity.

The present study aims to evaluate various classification algorithms for data pertaining to subjects diagnosed with depression and non-depressive subjects. To this end, the data obtained from the "depresjon" dataset proposed by Garcia-Ceja, E., et al were analyzed. This dataset comprises motor activ...

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Detalles Bibliográficos

Publicado en:	Revista Mexicana de Ingeniería Biomédica Vol. 46; no. 1; pp. 1 - 18
Autores principales:	Neftalí Rivera-Rojas, Gerardo, Eric Galván-Tejada, Carlos, Isaac Galván-Tejeda, Jorge, Celaya-Padilla, José M., Acosta-Cruz, Erika
Formato:	Artículo
Publicado:	Sociedad Mexicana de Ingenieria Biomedica, A.C. Jan-Apr2025
Materias:	Data mining Classification algorithms Motor learning Data analysis
Acceso en línea:	Ver este registro en EBSCOhost