Novel Insights on Establishing Machine Learning-Based Stroke Prediction Models Among Hypertensive Adults

BackgroundStroke is a major global health burden, and risk prediction is essential for the primary prevention of stroke. However, uncertainty remains about the optimal prediction model for analyzing stroke risk. In this study, we aim to determine the most effective stroke prediction method in a Chin...

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Detalhes bibliográficos
Main Authors: Xiao Huang, Tianyu Cao, Liangziqian Chen, Junpei Li, Ziheng Tan, Benjamin Xu, Richard Xu, Yun Song, Ziyi Zhou, Zhuo Wang, Yaping Wei, Yan Zhang, Jianping Li, Yong Huo, Xianhui Qin, Yanqing Wu, Xiaobin Wang, Hong Wang, Xiaoshu Cheng, Xiping Xu, Lishun Liu
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-05-01
Colecção:Frontiers in Cardiovascular Medicine
Assuntos:
machine learning
risk assessment
stroke
primary prevention
XGBoost
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fcvm.2022.901240/full
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