A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran

A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran

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<h4>Background</h4> The increasing burden of hypertension in low- to middle-income countries necessitates the assessment of care coverage to monitor progress and guide future policies. This study uses an ensemble learning approach to evaluate hypertension care coverage in a nationally re...

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Bibliographic Details
Main Authors: Hamed Tavolinejad, Shahin Roshani, Negar Rezaei, Erfan Ghasemi, Moein Yoosefi, Nazila Rezaei, Azin Ghamari, Sarvenaz Shahin, Sina Azadnajafabad, Mohammad-Reza Malekpour, Mohammad-Mahdi Rashidi, Farshad Farzadfar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491523/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491523/?tool=EBI

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