Prediction of Neurological Trajectories in Non-Neurological ICU Patients
Team: Precision Care Medicine: Cyan
- Program: Biomedical Engineering
- Course:
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
Project Poster
Project Post Summary:
Model Design and Test Results
Student Team Members
- Haoyin Xu
- Alisha Kodibagkar
- Jacob Desman
- Munachiso A. Igboko
- Qianqi Huang
- Zixuan Wang