This paper is in the following e-collection/theme issue:

Pilot studies (ehealth) (343) Clinical Information and Decision Making (2029) Hygiene and Infection Prevention (377) Machine Learning (2193) Postoperative Monitoring and Telemonitoring (208) Natural Language Processing (940) Perioperative Infection Control and Prevention (11)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75121, first published .
Machine Learning–Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study

Machine Learning–Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study

Machine Learning–Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study

Authors of this article:

Ugur Celik1 Author Orcid Image ;   Feifan Liu2 Author Orcid Image ;   Kimiyoshi Kobayashi2, 3, 4 Author Orcid Image ;   Richard T Ellison III3, 5 Author Orcid Image ;   Yurima Guilarte-Walker2 Author Orcid Image ;   Deborah Ann Mack5 Author Orcid Image ;   Qiming Shi1 Author Orcid Image ;   Adrian Zai2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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