A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population

A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population

IntroductionAn easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment.MethodsA dataset containing questionnaire responses and physical mea...

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Bibliographic Details
Main Authors: Rujia Miao, Qian Dong, Xuelian Liu, Yingying Chen, Jiangang Wang, Jianwen Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Public Health
Subjects:
machine learning
XGBoost
arterial stiffness
physical examination
questionnaire
feature
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1365479/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2024.1365479/full

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