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

Omar Yaxmehen Bello-ChavollaJessica Paola Bahena-LópezArsenio Vargas-VázquezNeftali Eduardo Antonio-VillaAlejandro Márquez-SalinasCarlos A Fermín-MartínezRosalba RojasRoopa MehtaIvette Cruz-BautistaSergio Hernández-JiménezAna Cristina García-UlloaPaloma Almeda-ValdesCarlos Alberto Aguilar-Salinasnull nullnull null

Published in: BMJ open diabetes research & care (2021)

Diabetes subgroup phenotypes are reproducible using SNNN; our algorithm is available as web-based tool. Application of these models allowed for better characterization of diabetes subgroups and risk factors in Mexicans that could have clinical applications.

Keyphrases

type diabetes
machine learning
cardiovascular disease
glycemic control
risk factors
deep learning
clinical trial
randomized controlled trial
metabolic syndrome
insulin resistance
study protocol
placebo controlled