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
Delirium is a condition that, when left unmanaged, is associated with increased mortality and longer hospitalization of patients in intensive care; therefore, its detection should be an integral part of care. It is characterized by confusion, anxiety and reduced alertness. It is estimated that 75% of delirium cases are not detected on admission to hospital. Detecting such an acute condition requires frequent monitoring of participants, which is labor intensive and requires expertise.
