Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

<h4>Background and objectives</h4> Hypertension (HTN), a major global health concern, is a leading cause of cardiovascular disease, premature death and disability, worldwide. It is important to develop an automated system to diagnose HTN at an early stage. Therefore, this study devised a...

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Bibliographic Details
Main Authors:	Md. Merajul Islam, Md. Jahangir Alam, Md Maniruzzaman, N. A. M. Faisal Ahmed, Md Sujan Ali, Md. Jahanur Rahman, Dulal Chandra Roy
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2023-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449142/?tool=EBI

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia. by Md Merajul Islam, Md Jahangir Alam, Md Maniruzzaman, N A M Faisal Ahmed, Md Sujan Ali, Md Jahanur Rahman, Dulal Chandra Roy

Published 2023-01-01

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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia. by Md Merajul Islam, Md Jahangir Alam, Md Maniruzzaman, N A M Faisal Ahmed, Md Sujan Ali, Md Jahanur Rahman, Dulal Chandra Roy

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