Machine learning-aided risk prediction for metabolic syndrome based on 3 years study
Abstract Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding risk factors. In this study, we investig...
Main Authors: | Haizhen Yang, Baoxian Yu, Ping OUYang, Xiaoxi Li, Xiaoying Lai, Guishan Zhang, Han Zhang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-06235-2 |
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