Prediction of Neurological Trajectories in Non-Neurological ICU Patients
2021
Team Members:
- Haoyin Xu
- Alisha Kodibagkar
- Jacob Desman
- Munachiso A. Igboko
- Qianqi Huang
- Zixuan Wang
Advisors:
- Robert D Stevens, MD
- Kirby Gong
- Indranuj Gangan
- Raimond L Winslow, PhD
- Joseph L Greenstein, PhD
Abstract:
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.
