Iterative random forest-based identification of a novel population with high risk of complications p...
Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The current risk score systems for preoperative evaluation may not adequately represent a small subset of high-risk populations. Accordingly, this study aimed at applying iterative random forest to analyze combinations of factors...
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Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery
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TN_cdi_doaj_primary_oai_doaj_org_article_b96751a2d0a4445a9299d49a07f00d5e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b96751a2d0a4445a9299d49a07f00d5e
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-78482-4
