CHL5212H: Predictive Modelling in the Health Sciences

This course will introduce students to methods and approaches for predictive modelling and teach the associated technical knowledge and computational approaches required to successfully implement an applied analysis. The material covered will include the general approaches to predictive modelling and a selection of methods that would typically be used at various stages of a pipeline when training a model. This includes handling of missing data, variable selection, and fitting a final predictive model. The approach of the course will be to familiarize the students with the methods and technicals via applications, with a focus on data that is commonly encountered in the health sciences.

Credit Value (FCE)

0.50

Course is eligible to be completed as Credit/No Credit: Yes

Campus(es)

St. George

School of Graduate Studies University of Toronto 63 St. George Street Toronto, ON Canada M5S 2Z9
Tel: 416-978-6614

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We wish to acknowledge this land on which the University of Toronto operates. For thousands of years it has been the traditional land of the Huron-Wendat, the Seneca, and the Mississaugas of the Credit. Today, this meeting place is still the home to many Indigenous people from across Turtle Island and we are grateful to have the opportunity to work on this land.