Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning

Abstract

The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, to date, no study has assessed the predictive power of phenotypes based on individual anthropometric measurements and triglyceride (TG) levels. The aims of the present study were to assess the association between the HW phenotype and type 2 diabetes in Korean… (More)
DOI: 10.1109/JBHI.2015.2396520

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Cite this paper

@article{Lee2016IdentificationOT, title={Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning}, author={Bum Ju Lee and Jong Yeol Kim}, journal={IEEE Journal of Biomedical and Health Informatics}, year={2016}, volume={20}, pages={39-46} }