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

Ugur Celik   1 * , MSc ;   Feifan Liu   2 * , PhD ;   Kimiyoshi Kobayashi   2, 3, 4 * , MD, MBA ;   Richard T Ellison III   3, 5 * , MD ;   Yurima Guilarte-Walker   2 * , MSc ;   Deborah Ann Mack   5 * , RN ;   Qiming Shi   1 * , MSc ;   Adrian Zai   2 * , MD, MPH, PhD

1 Center for Clinical and Translational Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States

2 Department of Population and Quantitative Health Sciences, Division of Health Informatics and Implementation Science, University of Massachusetts Chan Medical School, Worcester, MA, United States

3 Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States

4 UMass Memorial Medical Center, Worcester, United States

5 Infection Control Department, UMass Memorial Medical Center, Worcester, MA, United States

*all authors contributed equally

Corresponding Author:

  • Ugur Celik, MSc
  • Center for Clinical and Translational Sciences
  • University of Massachusetts Chan Medical School
  • 55 Lake Avenue North
  • Worcester, MA 01655
  • United States
  • Phone: 1 7744554679
  • Email: ugur_celik@student.uml.edu