PERSONALIZED MACHINE LEARNING FOR ACUTE KIDNEY INJURY PREDICTION AND PROGNOSIS (PRECISE-AKI)
PI(s): Mei Liu, University of Florida
Purpose: The overall goal of this project is to develop personalized transfer learning methods to achieve equitable AKI prediction across subpopulations in the hospital setting.
Study Design: Retrospective Observational Study
PCORnet® Partners:
- University of Florida, Mei Liu (OneFlorida+)
- University of Kansas Medical Center, Alan Yu (GPC)
- University of Missouri, Columbia, Xing Song (GPC)
PaTH Partners:
- University of Pittsburgh, Dana Fuhrman
Sponsor: National Institute of Diabetes and Digestive and Kidney Diseases
Coordinating Center: University of Florida
