Ensemble machine learning prediction of hyperuricemia based on a prospective health checkup population

Ensemble machine learning prediction of hyperuricemia based on a prospective health checkup population

Objectives: An accurate prediction model for hyperuricemia (HUA) in adults remain unavailable. This study aimed to develop a stacking ensemble prediction model for HUA to identify high-risk groups and explore risk factors.Methods: A prospective health checkup cohort of 40899 subjects was examined an...

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Bibliographic Details
Main Authors: Yongsheng Zhang, Li Zhang, Haoyue Lv, Guang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Physiology
Subjects:
hyperuricemia
prediction model
machine learning
stacking ensemble
risk factors
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1357404/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2024.1357404/full

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