Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospe...
Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study
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Publisher
Canada: JMIR Publications
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Language
English
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Publisher
Canada: JMIR Publications
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Contents
Metabolic syndrome is a cluster of disorders that significantly influence the development and deterioration of numerous diseases. FibroScan is an ultrasound device that was recently shown to predict metabolic syndrome with moderate accuracy. However, previous research regarding prediction of metabolic syndrome in subjects examined with FibroScan ha...
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Full title
Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study
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TN_cdi_doaj_primary_oai_doaj_org_article_b7f51bec705141ac9045c4c72002d8fe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7f51bec705141ac9045c4c72002d8fe
Other Identifiers
ISSN
2291-9694
E-ISSN
2291-9694
DOI
10.2196/17110
