Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait

Objective: In recent decades, the Arab population has experienced an increase in the prevalence of type 2 diabetes (T2DM), particularly within the Gulf Cooperation Council. In this context, early intervention programmes rely on an ability to identify individuals at risk of T2DM. We aimed to build pr...

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Detalhes bibliográficos
Publicado no:Front Endocrinol (Lausanne)
Main Authors: Farran, Bassam, AlWotayan, Rihab, Alkandari, Hessa, Al-Abdulrazzaq, Dalia, Channanath, Arshad, Thanaraj, Thangavel Alphonse
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Endocrinology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6749017/
https://ncbi.nlm.nih.gov/pubmed/31572303
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fendo.2019.00624
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