MED 277: Introduction to Biomedical Natural Language Processing

‚ÄčCourse Director: Chunnan Hsu, PhD

When and Where:

  • Lecture: Tue and Thur 1 - 2:30pm in MET 204

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 complete this course will learn how to process those data as well as their integration with other types of biomedical data with BioNLP

Course grades will be based on:

  1. Attendance at lectures
  2. Completion of required reading
  3. Quiz: 30%
  4. Programming homework x 2: 20% each
  5. Paper presentation x 2: 15% each

Textbook: