Clinical characterization of data-driven diabetes subgroups in Mexicans using a reproducible machine learning approach

INTRODUCTION: Previous reports in European populations demonstrated the existence of five data-driven adult-onset diabetes subgroups. Here, we use self-normalizing neural networks (SNNN) to improve reproducibility of these data-driven diabetes subgroups in Mexican cohorts to extend its application t...

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Detalles Bibliográficos
Autores principales: Bello-Chavolla, Omar Yaxmehen, Bahena-López, Jessica Paola, Vargas-Vázquez, Arsenio, Antonio-Villa, Neftali Eduardo, Márquez-Salinas, Alejandro, Fermín-Martínez, Carlos A, Rojas, Rosalba, Mehta, Roopa, Cruz-Bautista, Ivette, Hernández-Jiménez, Sergio, García-Ulloa, Ana Cristina, Almeda-Valdes, Paloma, Aguilar-Salinas, Carlos Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Pathophysiology/Complications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380860/
https://www.ncbi.nlm.nih.gov/pubmed/32699108
http://dx.doi.org/10.1136/bmjdrc-2020-001550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380860/
https://www.ncbi.nlm.nih.gov/pubmed/32699108
http://dx.doi.org/10.1136/bmjdrc-2020-001550

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