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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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Dettagli Bibliografici
Pubblicato in:J Endocr Soc
Autori principali: Antonio-Villa, Neftali Eduardo, Fernández-Chirino, Luisa, Vargas-Vazquez, Arsenio, Bahena-López, Jessica Paola, Bello-Chavolla, Omar Yaxmehen
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2021
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8089686/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1210/jendso/bvab048.863
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