Prediction of Cardiac Arrest in the Pediatric ICU
Team: Team Owl
Program: Biomedical Engineering
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.
Sponsorship
Nihon Kohden Digital Health Solutions Inc.
Mentors
Timothy Ruchti
Jim Fackler
Jules Bergmann
Casey Overby Taylor
Joseph L Greenstein
Team Members
Project Links
Team Owl’s logo of an ECG wave and an owl’s beak