Multicenter validation of a machine learning model for surgical transfusion risk at 45 US hospitals

Authors

Sunny S Lou, Washington University School of Medicine in St. Louis
Sayantan Kumar, Washington University School of Medicine in St. Louis
Charles W Goss, Washington University School of Medicine in St. Louis
Michael S Avidan, Washington University School of Medicine in St. Louis
Sachin Kheterpal, University of Michigan - Ann Arbor
Thomas Kannampallil, Washington University School of Medicine in St. Louis
Multicenter Perioperative Outcomes Group

Journal

JAMA Network Open

Publication Date

6-2-2025

Volume

8

Issue

6

First Page

e2517760

Document Type

Open Access Publication

DOI

10.1001/jamanetworkopen.2025.17760

Rights and Permissions

Lou SS, Kumar S, Goss CW, et al. Multicenter Validation of a Machine Learning Model for Surgical Transfusion Risk at 45 US Hospitals. JAMA Netw Open. 2025;8(6):e2517760. doi:10.1001/jamanetworkopen.2025.17760. This is an open access article distributed under the terms of the CC-BY License. © 2025 Lou SS et al. JAMA Network Open.

Recommended Citation

Lou, Sunny S; Kumar, Sayantan; Goss, Charles W; Avidan, Michael S; Kheterpal, Sachin; Kannampallil, Thomas; and Multicenter Perioperative Outcomes Group, "Multicenter validation of a machine learning model for surgical transfusion risk at 45 US hospitals." JAMA Network Open. 8, 6. e2517760 (2025).
https://digitalcommons.wustl.edu/oa_4/5228

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.