Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks

Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health conditions that involve low organ yield until the patien...

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Detalles Bibliográficos
Autores principales: Alcalá-Rmz, Vanessa, Zanella-Calzada, Laura A., Galván-Tejada, Carlos E., García-Hernández, Alejandra, Cruz, Miguel, Valladares-Salgado, Adan, Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388177/
https://www.ncbi.nlm.nih.gov/pubmed/30700010
http://dx.doi.org/10.3390/ijerph16030381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388177/
https://www.ncbi.nlm.nih.gov/pubmed/30700010
http://dx.doi.org/10.3390/ijerph16030381

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