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Whenever possible, the university recommends that events and meetings continue to be held virtually; it is highly recommended that in-person events also allow for virtual participation by attendees who choose not to or are unable to participate in person. Any in-person events must follow campus policy for schools/colleges/divisions, and student organizations.

Clinical Natural Language Processing for Health Outcomes Research: Current Applications and Future State for Patient Car

Department of Biostatistics & Medical Informatics Seminar

Event Details

Friday, April 23, 2021
12-1 p.m.
Dr. Majid Afshar, MD, MS, will be discussing multiple computable phenotypes built from the electronic health record using natural language processing methods, including named entity recognition. He will cover the development of several clinical classifiers and highlight approaches to mitigate bias, calibration cross heterogenous clinical settings, and comparisons across machine learning approaches.