Diverse Clinical Note Analysis

This project aims to create integrated models that can effectively analyze a wide range of clinical notes, such as consultations, discharge summaries, echocardiography reports, history and physical documents, operative reports, progress notes, selection conference records, and social worker notes to predict whether a patient is likely to be re-hospitalized for kidney transplant.


  • PI: Rachel Patzer - Associate Professor of Surgery, Emory University
  • NLP: Jinho Choi - Assistant Professor of Computer Science, Emory University