Using machine learning to predict outcomes following transcarotid artery revascularization
Using machine learning to predict outcomes following transcarotid artery revascularization
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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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Contents
Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedure that carries a non-negligible risk of complications. Risk prediction tools may help guide clinical decision-making but remain limited. We developed machine learning (ML) algorithms that predict 1-year outcomes following TCAR. The Vascular Quality...
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Full title
Using machine learning to predict outcomes following transcarotid artery revascularization
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TN_cdi_doaj_primary_oai_doaj_org_article_353aa34871ee43fc9d20114010ab5720
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_353aa34871ee43fc9d20114010ab5720
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-81625-2
