Development and Validation of a Machine Learning Model to Predict Postoperative Morbidity and Mortality in Patients With COVID-19 Who Underwent Major Surgery.

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Title: Development and Validation of a Machine Learning Model to Predict Postoperative Morbidity and Mortality in Patients With COVID-19 Who Underwent Major Surgery.
Authors: McDermott SP; Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pittsburgh, USA.; Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, USA., Zhou L; Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, USA., Kaynar AM; Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pittsburgh, USA.; Department of Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, USA.
Source: Cureus [Cureus] 2025 Aug 29; Vol. 17 (8), pp. e91247. Date of Electronic Publication: 2025 Aug 29 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101596737%22">Cureus</searchLink> [Cureus] 2025 Aug 29; Vol. 17 (8), pp. e91247. <i>Date of Electronic Publication: </i>2025 Aug 29 (<i>Print Publication: </i>2025).
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      – TitleFull: Development and Validation of a Machine Learning Model to Predict Postoperative Morbidity and Mortality in Patients With COVID-19 Who Underwent Major Surgery.
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              Text: 2025 Aug 29
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