Machine learning-based models to predict the conversion of normal blood pressure to hypertension wit...
Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Factors contributing to the development of hypertension exhibit significant variations across countries and regions. Our objective was to predict individuals at risk of developing hypertension within a 5-year period in a rural Middle Eastern area.
This longitudinal study utilized data from the Fasa Adults Cohort Study (FACS). The study initially...
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Full title
Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10939282
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10939282
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0300201
