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

OBJECTIVE: The 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...

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Detalles Bibliográficos
Autores principales: Chen, Ning, Fan, Feng, Geng, Jinsong, Yang, Yan, Gao, Ya, Jin, Hua, Chu, Qiao, Yu, Dehua, Wang, Zhaoxin, Shi, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577109/
https://www.ncbi.nlm.nih.gov/pubmed/36267989
http://dx.doi.org/10.3389/fpubh.2022.984621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577109/
https://www.ncbi.nlm.nih.gov/pubmed/36267989
http://dx.doi.org/10.3389/fpubh.2022.984621

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