Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Postoperative delirium is a common complication that is distressing. This study aimed to demonstrate a prediction model for delirium.
Among 203,374undergoing non-cardiac surgery between January 2011 and June 2019 at Samsung Medical Center, 2,865 (1.4%) were diagnosed with postoperative delirium. After comparing performances of machine learning a...
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Full title
Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
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TN_cdi_doaj_primary_oai_doaj_org_article_83d12fe0f6da4b74b875a448632b24b7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_83d12fe0f6da4b74b875a448632b24b7
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ISSN
1471-244X
E-ISSN
1471-244X
DOI
10.1186/s12888-023-04768-y
