Trends in Diabetes Subgroups and Their Risk for All-Cause, Cardiovascular Disease and Diabetes-Specific Mortality in the US: A Data-Driven Reproducible Machine Learning Approach

Background: Diabetes has been described as a heterogeneous entity which can be studied through data-driven subgroups (obesity related [MOD], severe-insulin deficient [SIID], severe-insulin resistant [SIRD] and age-related diabetes [MARD]). However, trends in prevalence and mortality risk are still u...

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Detalles Bibliográficos
Autores principales: Antonio-Villa, Neftali Eduardo, Fernández-Chirino, Luisa, Vargas-Vazquez, Arsenio, Bahena-López, Jessica Paola, Bello-Chavolla, Omar Yaxmehen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Diabetes Mellitus and Glucose Metabolism
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8089686/
http://dx.doi.org/10.1210/jendso/bvab048.863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8089686/
http://dx.doi.org/10.1210/jendso/bvab048.863

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