J. L. Darby

The Use of Health Information Technology to Improve Sepsis Care

J. Kahn, J. L. Darby, 2017 .

Multi-Omic Admission-Based Prognostic Biomarkers Identified by Machine Learning Algorithms Predict Patient Recovery and 30-Day Survival in Trauma Patients

Upendra K. Kar, Y. Vodovotz, J. Sperry, 2022, Metabolites.

An administrative model for benchmarking hospitals on their 30-day sepsis mortality

J. Kahn, B. Davis, I. Barbash, 2019, BMC Health Services Research.