Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms

Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms

ObjectiveThe prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the risk of hypertension for residents in primary care i...

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Bibliographic Details
Main Authors: Ning Chen, Feng Fan, Jinsong Geng, Yan Yang, Ya Gao, Hua Jin, Qiao Chu, Dehua Yu, Zhaoxin Wang, Jianwei Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Public Health
Subjects:
hypertension
risk assessment model
risk of hypertension
machine learning algorithms
primary care
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.984621/full

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