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Prediction of Cardiac Arrest in the Pediatric ICU
Team: Team Owl
- Program: Biomedical Engineering
- Course: Precision Care Medicine
- Year: 2022
Project Description:
Only one out of four children who have a cardiac arrest in the hospital will survive until discharge. To address this problem, we have used machine learning to predict cardiac arrest up to three hours in advance. This increased warning time will allow clinicians to intervene earlier, improving patient outcomes.
Project Photo:
Team Owl’s logo of an ECG wave and an owl’s beak