Predicting adverse outcomes due to diabetes complications with machine learning using administrative...
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Across jurisdictions, government and health insurance providers hold a large amount of data from patient interactions with the healthcare system. We aimed to develop a machine learning-based model for predicting adverse outcomes due to diabetes complications using administrative health data from the single-payer health system in Ontario, Canada. A...
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Full title
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
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TN_cdi_doaj_primary_oai_doaj_org_article_618f79c514f043dc8f26ffb41f8e1df6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_618f79c514f043dc8f26ffb41f8e1df6
Other Identifiers
ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-021-00394-8
