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. |
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| 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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| ISSN: | 2168-8184 |
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| DOI: | 10.7759/cureus.91247 |
