View in EDS

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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41043508
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Estimation of risk-adjusted postoperative infection outcomes using interpretable machine learning and electronic health record data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Colborn+KL%22">Colborn KL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Fei+Y%22">Fei Y</searchLink>; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.<br /><searchLink fieldCode="AU" term="%22Henderson+WG%22">Henderson WG</searchLink>; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO.<br /><searchLink fieldCode="AU" term="%22Zhuang+Y%22">Zhuang Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Dyas+AR%22">Dyas AR</searchLink>; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO.<br /><searchLink fieldCode="AU" term="%22Matheny+ME%22">Matheny ME</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Stuart+CM%22">Stuart CM</searchLink>; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO.<br /><searchLink fieldCode="AU" term="%22Meguid+RA%22">Meguid RA</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228004854%22">American journal of infection control</searchLink> [Am J Infect Control] 2026 Feb; Vol. 54 (2), pp. 139-144. <i>Date of Electronic Publication: </i>2025 Oct 01.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mosby%22">Mosby </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8004854 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-3296 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201966553%22">01966553 </searchLink><i>NLM ISO Abbreviation: </i>Am J Infect Control <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41043508
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ajic.2025.09.015
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 139
    Titles:
      – TitleFull: Estimation of risk-adjusted postoperative infection outcomes using interpretable machine learning and electronic health record data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Colborn KL
      – PersonEntity:
          Name:
            NameFull: Fei Y
      – PersonEntity:
          Name:
            NameFull: Henderson WG
      – PersonEntity:
          Name:
            NameFull: Zhuang Y
      – PersonEntity:
          Name:
            NameFull: Dyas AR
      – PersonEntity:
          Name:
            NameFull: Matheny ME
      – PersonEntity:
          Name:
            NameFull: Stuart CM
      – PersonEntity:
          Name:
            NameFull: Meguid RA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2026 Feb
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1527-3296
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: American journal of infection control
              Type: main
ResultId 1