AI to predict emergency visits

ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of health-care questions like, which patients are most likely to be readmitted to the hospital? Or which of my patients would most benefit from establishing a relationship with a primary care provider? The objectives are to evaluate the performance of seven prediction models that answers these kinds of questions and to improve one of the seven prediction models by identifying and training a deep learning algorithm.

Intern: 
Vincent Morissette-Thomas
Faculty Supervisor: 
Yoshua Bengio
Project Year: 
2019
Province: 
Quebec
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