How Does Machine Learning Contribute to Human Health Research
During this webinar, a few examples where machine learning has validated and discovered interesting associations for cases pertaining to human health will be presented.
Dr. Jacques Corbeil’s research team focuses on algorithms that generate parsimonious and interpretable models.
*The webinar will be presented in French.
Featured project
This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients.
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician.
