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Open Access
Peer-reviewed
Research Article
A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
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Hamed Tavolinejad,
Roles Conceptualization, Formal analysis, Methodology, Writing – original draft
Affiliations Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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Shahin Roshani,
Roles Data curation, Formal analysis, Methodology, Software, Visualization
Affiliations Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran, Netherlands Cancer Institute, Amsterdam, Netherlands
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Negar Rezaei,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliations Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran, Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Erfan Ghasemi,
Roles Data curation, Methodology, Validation
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Moein Yoosefi,
Roles Methodology, Validation
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Nazila Rezaei,
Roles Methodology, Project administration, Resources
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Azin Ghamari,
Roles Validation, Writing – review & editing
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Sarvenaz Shahin,
Roles Writing – review & editing
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Sina Azadnajafabad,
Roles Methodology, Writing – review & editing
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Mohammad-Reza Malekpour,
Roles Methodology, Writing – review & editing
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Mohammad-Mahdi Rashidi,
Roles Investigation, Project administration, Writing – review & editing
Affiliation Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Farshad Farzadfar
Roles Conceptualization, Funding acquisition, Writing – review & editing
* E-mail: f–farzadfar@tums.ac.ir
Affiliations Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran, Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran
- Hamed Tavolinejad,
- Shahin Roshani,
- Negar Rezaei,
- Erfan Ghasemi,
- Moein Yoosefi,
- Nazila Rezaei,
- Azin Ghamari,
- Sarvenaz Shahin,
- Sina Azadnajafabad,
- Mohammad-Reza Malekpour
- Published: September 21, 2022
- https://doi.org/10.1371/journal.pone.0273560