Speaker:
Professor Jessica Gronsbell, University of Toronto
Title:
Leveraging electronic health records for biomedical research
Time: 10 am – 11am, Thursday, March 3rd, 2022
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Abstract:
The adoption of electronic health records (EHRs) has generated massive amounts of routinely collected medical data with potential to improve our understanding of healthcare delivery and disease processes. However, the analysis of EHR data remains both practically and methodologically challenging as it is recorded as a byproduct of clinical care and billing, and not for research purposes. For example, outcome information, such as presence of a disease or treatment response, is often missing or poorly annotated in patient records, which brings challenges to statistical learning and inference. In this talk, I will focus on predictive modeling in settings with an extremely limited amount of outcome information and demonstrate the advantages of semi-supervised learning methods that incorporate large volumes of unlabeled data into model estimation and evaluation.
The Canadian Statistical Sciences Institute (CANSSI) Saskatchewan HSCC is designated by CANSSI and comprised of researchers and trainees from the University of Saskatchewan and the University of Regina.
For more details about the upcoming webinar series, please visit: https://research-groups.usask.ca/canssisk/
