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Undergraduate Research into Artificial Intelligence – Enhanced Electrocardiograms for Cardiovascular Risk Assessment

Suggested Fields
Post Date
09/19/2024
Description

My research group is investigating machine learning of electrocardiogram (ECG or EKG) tracings of patients to solve for cardiac age, sex and cardiac disease states.  I am looking for someone to get involved in a project where we are repeating a Python ensemble model we have developed in a larger online dataset, to improve its accuracy.  I am also looking for someone to develop a variational autoencoder model of ECG images in Python.  Proficiency in Python programming is required.  Prior experience with developing ML models is preferred.  I expect the project to run through the end of this calendar year, depending on the applicant’s time commitment to the project, and there is the opportunity for ongoing involvement depending on applicant interest

Faculty Advisor
Faisal Syed
Research Supervisor
Faisal Syed
Faculty Email:
Type of Position
Availability
Website
Application Deadline
9/24/2024