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Computers in Biology and Medicine|January 16, 2015
Indicators of hypertriglyceridemia from anthropometric measures based on data miningBum Ju Lee, Jong Yeol KimPlos One|November 5, 2016
Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly KoreansBum Ju Lee, Jong Yeol KimIEEE Journal of Biomedical and Health Informatics|August 23, 2014
Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine LearningBum Ju Lee, Jong Yeol KimBMC Complementary and Alternative Medicine|July 18, 2014
Predicting visceral obesity based on facial characteristicsBum Ju Lee, Jong Yeol KimBMC Endocrine Disorders|February 28, 2020
Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adultsBum Ju Lee, Jong Yeol KimPlos One|January 28, 2014
A comparison of the predictive power of anthropometric indices for hypertension and hypotension riskBum Ju Lee, Jong Yeol KimIEEE Journal of Biomedical and Health Informatics|February 13, 2015
Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine LearningBum Ju Lee, Jong Yeol KimBMC Complementary and Alternative Medicine|February 11, 2016
Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglyceridesBum Ju Lee, Jiho Nam, Jong Yeol KimJournal of Biomedicine & Biotechnology|August 25, 2012
A classification method of normal and overweight females based on facial features for automated medical applicationsBum Ju Lee, Jun-Hyeong Do, Jong Yeol KimChinese Journal of Integrative Medicine|December 31, 2016
Prediction of cold and heat patterns using anthropometric measures based on machine learningBum Ju Lee, Jae Chul Lee, Jiho Nam, et al.Pageof 14