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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...
Autores principales: | Farran, Bassam, AlWotayan, Rihab, Alkandari, Hessa, Al-Abdulrazzaq, Dalia, Channanath, Arshad, Thanaraj, Thangavel Alphonse |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749017/ https://www.ncbi.nlm.nih.gov/pubmed/31572303 http://dx.doi.org/10.3389/fendo.2019.00624 |
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