Estimation of risk-adjusted postoperative infection outcomes using interpretable machine learning and electronic health record data.

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Bibliographic Details
Title: Estimation of risk-adjusted postoperative infection outcomes using interpretable machine learning and electronic health record data.
Authors: Colborn KL; Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO; Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO. Electronic address: Kathryn.colborn@cuanschutz.edu., Fei Y; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO., Henderson WG; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO., Zhuang Y; Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO; Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO., Dyas AR; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO., Matheny ME; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN; Division of General Internal Medicine, Vanderbilt University Medical Center, Nashville, TN., Stuart CM; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO., Meguid RA; Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO.
Source: American journal of infection control [Am J Infect Control] 2026 Feb; Vol. 54 (2), pp. 139-144. Date of Electronic Publication: 2025 Oct 01.
Publication Type: Journal Article
Journal Info: Publisher: Mosby Country of Publication: United States NLM ID: 8004854 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-3296 (Electronic) Linking ISSN: 01966553 NLM ISO Abbreviation: Am J Infect Control Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-3296
DOI:10.1016/j.ajic.2025.09.015