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| Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population |
| Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi |
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Genomics Inform. 2018;16(4):e31 Published online December 28, 2018 DOI: https://doi.org/10.5808/GI.2018.16.4.e31 |
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Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population Genomics & Informatics. 2018;16(4):e31  Genetic prediction of the metabolic syndrome Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2008;2(4):245-252 THE metabolic syndrome and accurate cardiovascular risk prediction in persons with type 2 diabetes mellitus Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2016;10(1):7-12 Small dense LDL oxidation in hypertensives and diabetics and prediction of Metabolic Syndrome Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2008;2(1):21-27 Flood Prediction Using Machine Learning Models: Literature Review Water. 2018;10(11):1536 O-21 Separation of major depression patients from healthy controls using machine learning approach to resting-state EEG Clinical Neurophysiology. 2019;130(7):e28 The investigations of genetic determinants of the metabolic syndrome Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2018;12(5):783-789 Low-density lipoprotein cholesterol and metabolic syndrome in an Iranian high-risk population Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2015;9(2):91-97 Metabolic syndrome prevalence in an urban African American population Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2007;1(3):151-157 Association of nonalcoholic fatty liver disease with metabolic syndrome in Indian population Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2011;5(2):76-80 |
