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Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data.

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Bibliographic Details
Title: Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data.
Authors: Dyas AR; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Stuart CM; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Fei Y; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO., Meguid RA; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Zhuang Y; Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Henderson WG; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Bronsert MR; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Colborn KL; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.; Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO.
Source: Annals of surgery [Ann Surg] 2026 Aug 01; Vol. 284 (2), pp. 273-280. Date of Electronic Publication: 2025 Mar 26.
Publication Type: Journal Article; Validation Study; Multicenter Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0372354 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1140 (Electronic) Linking ISSN: 00034932 NLM ISO Abbreviation: Ann Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1528-1140
DOI:10.1097/SLA.0000000000006709