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

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.