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Dinh, A., Miertschin, S., Young, A. and Mohanty, S.D. (2019) A Data-Driven Approach to Predicting Diabetes and Cardiovascular Disease with Machine Learning. BMC Medical Informatics and Decision Making, 19, 211.
https://doi.org/10.1186/s12911-019-0918-5

has been cited by the following article:

• TITLE: Type 2 Diabetes Phenotype in a Small Isolated Zapotec-Speaking Community in the Valley of Oaxaca, Southern Mexico

  AUTHORS: Bertis B. Little, Robert M. Malina, Maria Eugenia Peña Reyes, Christopher R. Tillquist, Elizabeth O’Brien, Richard A. Kerber

  KEYWORDS: T2DM Phenotype, Central Obesity, Sarcopenia, Grip Strength, Body Proportions

  JOURNAL NAME: Open Journal of Endocrine and Metabolic Diseases, Vol.10 No.9, September 29, 2020

  ABSTRACT: Objective: To test the hypothesis that the type 2 diabetes mellitus (T2DM) phenotype in an indigenous population is characterized by proportionally short legs and obesity. Methods: Anthropometric characteristics were compared in females and males with T2DM (n = 20, n = 8, respectively) and without T2DM (n = 117, n = 93, respectively). Factor analysis derived dimensions were regressed on T2DM in logistic regression. Results: Weight, sitting height ratio and hip circumference were significantly lower (p Conclusion: Reduced muscle strength/mass and increased central adiposity characterize the T2DM phenotype.