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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Bibliographische Detailangaben
Veröffentlicht in:Front Endocrinol (Lausanne)
Hauptverfasser: Farran, Bassam, AlWotayan, Rihab, Alkandari, Hessa, Al-Abdulrazzaq, Dalia, Channanath, Arshad, Thanaraj, Thangavel Alphonse
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2019
Schlagworte:
Endocrinology
Online Zugang: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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