A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs sur...
A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
About this item
Full title
Author / Creator
Publisher
San Francisco: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
San Francisco: Public Library of Science
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Scope and Contents
Contents
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 representative Iranian survey. The data source was the cross-sectional 2016 Iranian...
Alternative Titles
Full title
A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_plos_journals_2716496230
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2716496230
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0273560
