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
BMC Public Health. 2022;22(1):   Crossref logo
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Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data
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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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Prediction and Analysis of Machine Learning Models for Efficient Routing Protocol in VANET using Feature Information
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Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm
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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
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