Integrating nonindividual patient features in machine learning models of hospital-onset bacteremia

Authors

M Cristina Vazquez-Guillamet, Washington University School of Medicine in St. Louis
Jingwen Zhang, Washington University in St. Louis
Alice Bewley, Washington University School of Medicine in St. Louis
Andrew Atkinson, Washington University School of Medicine in St. Louis
Heidi Holtz, Goldfarb School of Nursing at Barnes-Jewish College
Ziqian Wang, Washington University in St. Louis
Nicole Brougham, Goldfarb School of Nursing at Barnes-Jewish College
Chenyang Lu, Washington University in St. Louis
Marin H Kollef, Washington University School of Medicine in St. Louis
Philip Payne, Washington University School of Medicine in St. Louis
David Warren, Washington University School of Medicine in St. Louis
Victoria J Fraser, Washington University School of Medicine in St. Louis

Journal

JAMA Network Open

Publication Date

7-1-2025

Volume

8

Issue

7

First Page

e2518815

Document Type

Open Access Publication

DOI

10.1001/jamanetworkopen.2025.18815

Rights and Permissions

Vazquez-Guillamet MC, Zhang J, Bewley A, et al. Integrating Nonindividual Patient Features in Machine Learning Models of Hospital-Onset Bacteremia. JAMA Netw Open. 2025;8(7):e2518815. doi:10.1001/jamanetworkopen.2025.18815. This is an open access article distributed under the terms of the CC-BY License. © 2025 Vazquez-Guillamet MC et al. JAMA Network Open.

Recommended Citation

Vazquez-Guillamet, M Cristina; Zhang, Jingwen; Bewley, Alice; Atkinson, Andrew; Holtz, Heidi; Wang, Ziqian; Brougham, Nicole; Lu, Chenyang; Kollef, Marin H; Payne, Philip; Warren, David; and Fraser, Victoria J, "Integrating nonindividual patient features in machine learning models of hospital-onset bacteremia." JAMA Network Open. 8, 7. e2518815 (2025).
https://digitalcommons.wustl.edu/oa_4/5163

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.