Prediction of the Microbial Origin of Presumed Sepsis in PICU Encounters
Team: Team Pandas
Program:
Biomedical Engineering
Project Description:
We aim to use machine learning to accurately predict the microbiological origin of infection in children faster than the time it takes hospital lab tests to return. We hypothesize that we can develop predictive models analyzing a patient’s Physiological Time Series Data and electronic medical records to identify the origin of infection in the first 48 hours of PICU admission.
Team Members
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Project Mentors, Sponsors, and Partners
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Jules Bergmann
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Luis Ahumada
Course Faculty
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