Work

Estimation of Risk-Adjusted Outcomes for Non-Infectious Postoperative Complications using Interpretable Machine Learning and Electronic Health Record Data

Year: 2025

Type: article

Study design: Observational Study

Source: Annals of Surgery

DOI: 10.1097/sla.0000000000006737

Authors: Christina M. Stuart, Yizhou Fei, Kathryn L. Colborn, Yaxu Zhuang, William G. Henderson, Adam R. Dyas, Michael R. Bronsert, Robert A. Meguid

Institutions: University of Colorado Anschutz, Colorado School of Public Health

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Agency for Healthcare Research and Quality

Award: G4840800410

OpenAlex ID: W4409622316

FWCI: 1.649

Cites:

Cited by: 4

Related to: 10