Open AccessA machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
Author(s) -
Hamed Tavolinejad,
Shahin Roshani,
Negar Rezaei,
Erfan Ghasemi,
Moein Yoosefi,
Nazila Rezaei,
Azin Ghamari,
Sarvenaz Shahin,
Sina Azadnajafabad,
MohammadReza Malekpour,
MohammadMahdi Rashidi,
Farshad Farzadfar
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0273560
Subject(s) - medicine , dyslipidemia , blood pressure , population , random forest , pediatrics , physical therapy , demography , emergency medicine , environmental health , machine learning , sociology , computer science , obesity