Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

BACKGROUND: Hypertension is the most common modifiable risk factor for cardiovascular diseases in South Asia. Machine learning (ML) models have been shown to outperform clinical risk predictions compared to statistical methods, but studies using ML to predict hypertension at the population level are...

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Detalles Bibliográficos
Autores principales: Islam, Sheikh Mohammed Shariful, Talukder, Ashis, Awal, Md. Abdul, Siddiqui, Md. Muhammad Umer, Ahamad, Md. Martuza, Ahammed, Benojir, Rawal, Lal B., Alizadehsani, Roohallah, Abawajy, Jemal, Laranjo, Liliana, Chow, Clara K., Maddison, Ralph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008259/
https://www.ncbi.nlm.nih.gov/pubmed/35433854
http://dx.doi.org/10.3389/fcvm.2022.839379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008259/
https://www.ncbi.nlm.nih.gov/pubmed/35433854
http://dx.doi.org/10.3389/fcvm.2022.839379

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