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Prediction of Neurological Trajectories in Non-Neurological ICU Patients

Team: Precision Care Medicine: Cyan

Project Description:

Coma is a medical emergency that requires rapid and precise intervention in the intensive care unit (ICU) to improve the chances of patient survival, coma emergence, and neurological recovery. A substantial number of critically ill patients who lack a primary neurological disorder may develop coma. We use machine learning techniques to predict non-neurological coma and recovery from coma using electronic health record data from ICU patients.

Project Photo:

Flow Diagram of Model Design

Flow Diagram of Model Design

Student Team Members

Jacob Desman
Munachiso A. Igboko
Qianqi Huang
Zixuan Wang

Course Faculty

Project Mentors, Sponsors, and Partners

Robert D Stevens, MD
Kirby Gong
Indranuj Gangan
Raimond L Winslow, PhD
Joseph L Greenstein, PhD

Project Video

Introduction of Project Poster