An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data

An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data

BackgroundDyslipidemia has emerged as a significant clinical risk, with its associated complications, including atherosclerosis and ischemic cerebrovascular disease, presenting a grave threat to human well-being. Hence, it holds paramount importance to precisely predict the onset of dyslipidemia. Th...

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Bibliographic Details
Main Authors: Naiwen Zhang, Xiaolong Guo, Xiaxia Yu, Zhen Tan, Feiyue Cai, Ping Dai, Jing Guo, Guo Dan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Physiology
Subjects:
dyslipidemia
prediction
physical examination data
machine learning
ensemble model
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1464744/full
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https://www.frontiersin.org/articles/10.3389/fphys.2024.1464744/full

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