CrossRef Text and Data Mining
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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
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   Crossref logo
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Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
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Is handling unbalanced datasets for machine learning uplifts system performance?: A case of diabetic prediction
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Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms
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Potential Breast Cancer Drug Prediction using Machine Learning Models
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 2020;   Crossref logo
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Prediction of Bank Performance Using Machine Learning and Genetic Algorithm Hybrid Models
2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). 2022;   Crossref logo
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Prediction models using machine learning: The focus remains on prevention
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