Power of Population Data Science Series: Webinar Thursday March 11

Chronic disease prevention is a concern of primary care practitioners and the patients they care for. Disease risk estimates help patients and practitioners understand: what is the patient’s risk of developing a disease and what can be done to minimize their risk? Many risk estimators for single diseases (e.g., cardiovascular disease) have been developed; however, risk estimators for multiple diseases have not yet been fully established.

We explored the methodological complexities of estimating a patient’s risk of developing multiple diseases using their electronic medical records. This culminated in our risk prediction model for diabetes, hypertension, and osteoarthritis that is intended for use in primary care, to deliver a more comprehensive description of disease risk to guide preventative care. 

You are invited to join Jason and Jaky who will describe their work on Thursday, March 11, 2021 at 12:30 p.m. EST. Register for the webinar with Population Data BC.

Black JE, Kueper JK, Terry AL, Lizotte DJ. Development of a prognostic prediction model to estimate the risk of multiple chronic diseases: Constructing a copula-based model using Canadian primary care electronic medical record data. Int J Population Data Science IJPDS. 2021 6(1). doi: 10.23889/ijpds.v6i1.1395