Hard Voting Ensemble Approach for the Detection of Type 2 Diabetes in Mexican Population with Non-Glucose Related Features

Type 2 diabetes mellitus (T2DM) represents one of the biggest health problems in Mexico, and it is extremely important to early detect this disease and its complications. For a noninvasive detection of T2DM, a machine learning (ML) approach that uses ensemble classification models with dichotomous o...

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Detalles Bibliográficos
Autores principales: Morgan-Benita, Jorge A., Galván-Tejada, Carlos E., Cruz, Miguel, Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Arceo-Olague, Jose G., Luna-García, Huizilopoztli, Celaya-Padilla, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331873/
https://www.ncbi.nlm.nih.gov/pubmed/35893185
http://dx.doi.org/10.3390/healthcare10081362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331873/
https://www.ncbi.nlm.nih.gov/pubmed/35893185
http://dx.doi.org/10.3390/healthcare10081362

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