Identifying Personalized Risk of Acute Kidney Injury with Machine Learning
PI(s): Mei Liu, Kansas University Medical Center
PaTH Site PI(s): John Kellum
Project Summary: This project aims to address three critical clinical questions:
In order to answer these questions, we are using electronic health records of diverse populations from multiple institutions across the US with novel machine learning techniques.
Study Design: Multi-CRN retrospective observational cohort study
PCORnet Partners: Greater Plains Collaborative (GPC)
PaTH Partners: UUniversity of Pittsburgh (John Kellum, Site PI)
Sponsor: NIH / NIDDK