Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study

Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study

BackgroundMetabolic syndrome is a cluster of disorders that significantly influence the development and deterioration of numerous diseases. FibroScan is an ultrasound device that was recently shown to predict metabolic syndrome with moderate accuracy. However, previous resear...

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Bibliographic Details
Main Authors: Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Wang, Sen-Te, Lin, Shiyng-Yu, Lin, Sanders H, Wu, Jenny L, Chang, Shy-Shin
Format: Article
Language:English
Published: JMIR Publications 2020-03-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2020/3/e17110/

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http://medinform.jmir.org/2020/3/e17110/

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