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-Reference-Cited by-同舟云学术

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

Published:2019-09-11 Issue: Volume:10 Page:
ISSN:1664-2392
Container-title:Frontiers in Endocrinology
language:
Short-container-title:Front. Endocrinol.

Author:

Farran Bassam,AlWotayan Rihab,Alkandari Hessa,Al-Abdulrazzaq Dalia,Channanath Arshad,Thanaraj Thangavel Alphonse

Publisher

Frontiers Media SA

Subject

Endocrinology, Diabetes and Metabolism

Reference42 articles.

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2. Type II diabetes mellitus in Arabic-speaking countries;Badran;Int J Endocrinol.,2012

3. Plasma glucose concentration and prediction of future risk of type 2 diabetes;Abdul-Ghani;Diabetes Care,2009

4. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance;Tuomilehto;N Engl J Med,2001

5. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin;Knowler;N Engl J Med,2002

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