reference/35206826

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35206826

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
issn	1932-6203
issueIdentifier	9
pageRange	e0273560-
publicationName	PLOS ONE
startingPage	e0273560
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bibliographicCitation	Tavolinejad H, Roshani S, Rezaei N, Ghasemi E, Yoosefi M, Rezaei N, Ghamari A, Shahin S, Azadnajafabad S, Malekpour M, Rashidi M, Farzadfar F. A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran. PLoS ONE. 2022 Sep 21;17(9):e0273560. doi: 10.1371/journal.pone.0273560.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6d190e2bdbe18009c435a14348459488 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-0105-3801 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7fb9ba05430c2a0aec604986feebb54a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_fdc43b21945fb911f1998bf572427560 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_af3a7d03873dd379f88efe68cf241024 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_5a95437fcf69e3cd02f54d41b44891f1 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-8288-4046 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6f1b7866f73945b12ad8d8d788136ffc http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-0244-5914 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_9f9a3f29fa75e2045ab0ff4ca75d209d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2df386e775994b1c9ee1013b0f490784 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-8648-5402
date	2022-09-21^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/36129936 https://pubmed.ncbi.nlm.nih.gov/PMC9491523 https://doi.org/10.1371/journal.pone.0273560
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
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