-
Loading metrics
Open Access
Peer-reviewed
Research Article
Systematic evaluation of machine learning models for postoperative surgical site infection prediction
-
Anna M. van Boekel ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
* E-mail: a.m.van_boekel@lumc.nl
Affiliation Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Siri L. van der Meijden,
Roles Conceptualization, Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Sesmu M. Arbous,
Roles Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing
Affiliation Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Rob G. H. H. Nelissen,
Roles Writing – review & editing
Affiliation Department of Orthopedic surgery, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Karin E. Veldkamp,
Roles Writing – review & editing
Affiliation Department of Medical Microbiology and Infection Control, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Emma B. Nieswaag,
Roles Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Kim F. T. Jochems,
Roles Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Jeroen Holtz,
Roles Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Annekee van IJlzinga Veenstra,
Roles Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Jeroen Reijman,
Roles Data curation, Writing – review & editing
Affiliations Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands, Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Ype de Jong,
Roles Writing – review & editing
Affiliations Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands, Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Harry van Goor,
Roles Writing – review & editing
Affiliation Department of Surgery, Radboud UMC, Nijmegen, The Netherlands
⨯ -
Maryse A. Wiewel,
Roles Data curation, Writing – review & editing
Affiliation Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ -
Jan W. Schoones,
Roles Data curation, Writing – review & editing
Affiliation Waleus Medical Library, Leiden University Medical Center, Leiden, The Netherlands
⨯ -
Bart F. Geerts,
Roles Conceptualization, Data curation, Software, Writing – review & editing
Affiliation Healthplus.ai R&D B.V., Amsterdam, The Netherlands
⨯ - [ ... ],
-
Mark G. J. de Boer
Roles Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing
Affiliations Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Infectious disease, Leiden University Medical Center, Leiden, The Netherlands
⨯ - [ view all ]
- [ view less ]
Systematic evaluation of machine learning models for postoperative surgical site infection prediction
- Anna M. van Boekel,
- Siri L. van der Meijden,
- Sesmu M. Arbous,
- Rob G. H. H. Nelissen,
- Karin E. Veldkamp,
- Emma B. Nieswaag,
- Kim F. T. Jochems,
- Jeroen Holtz,
- Annekee van IJlzinga Veenstra,
- Jeroen Reijman
- Published: December 12, 2024
- https://doi.org/10.1371/journal.pone.0312968