Open AccessMachine Learning-Based Prediction for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study
Author(s) -
Hui Zhang,
Dandan Chen,
Jing Shao,
Ping Zou,
Nianqi Cui,
Leiwen Tang,
Xiyi Wang,
Dan Wang,
Jingjie Wu,
Zhihong Ye
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s328180
Subject(s) - metabolic syndrome , retrospective cohort study , medicine , cohort , artificial intelligence , machine learning , computer science , obesity
Machine learning (ML) techniques have emerged as a promising tool to predict risk and make decisions in different medical domains. We aimed to compare the predictive performance of machine learning-based methods for 4-year risk of metabolic syndrome in adults with the previous model using logistic regression.