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MED 277: Introduction to Biomedical Natural Language Processing

Course Director: Michael Hogarth, MD
Co-Instructor: Shamim Nemati, PhD
Fall, Mondays and Wednesdays, 10:00 - 11:00 a.m.
Units: 4

Office Hours: 30 min after class meeting

Course Overview: Biomedical Natural Language Processing (BioNLP) is an essential tool in both biomedical research and clinical applications to address the needs in, for example, harmonizing data with non-standard terminologies, selecting patients satisfying certain conditions from free text electronic medical records, and extracting findings and relations from scientific literature.  Free text biomedical data will be continually generated in large volumes. Students who complete this course will learn how to process data, integration with other types of biomedical data, and apply machine learning and deep learning methods to build large language models (LLMs).