| Start Date: | 3/8/2023 | Start Time: | 4:00 PM |
| End Date: | 3/8/2023 | End Time: | 5:30 PM |
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Event Description
BIOMED Seminar
Title:
Practicing Natural Language Processing (NLP) in Healthcare
Speaker:
Hua Xu, PhD, FACMI
Professor and Vice Chair
Research and Development
Section of Biomedical Informatics and Data Science
Assistant Dean for Informatics
Yale School of Medicine
Yale University
Details:
Electronic Health Records (EHRs) contain abundant free text data that are valuable for research and operation in the medical domain. Natural language processing (NLP) technologies have shown great promise in unlocking information in clinical texts; however, many challenges still exist when we apply NLP to practical use cases.
This presentation will discuss the challenges encountered when building practical clinical NLP solutions and will describe our recent work on addressing such challenges, including the development of user-friendly interfaces for non-NLP experts and new algorithms for reducing annotation cost in building machine learning-based NLP solutions.
Biosketch:
Hua Xu, PhD, FACMI, is a Professor and the Vice Chair for Research and Development, Section of Biomedical Informatics and Data Science at Yale School of Medicine (YSM), as well as Assistant Dean for Informatics at YSM. Dr. Xu received his PhD in Biomedical Informatics from Columbia University.
Dr. Xu's primary research interests include biomedical natural language processing (NLP) and data mining, as well as their applications in secondary use of electronic health records data for clinical and translational research. His research is funded by multiple agencies (i.e., NLM, NCI, NIGMS, NIA, AHA, and CPRIT), and methods/tools developed in his lab have been top ranked in a number of biomedical NLP shared tasks and widely used to support diverse biomedical applications.
Dr. Xu served as the Chair of American Medical Informatics Association (AMIA) NLP Working Group and now leads the Observational Health Data Sciences and Informatics (OHDSI) NLP Working Group. He is an elected fellow of the American College of Medical Informatics since 2014. |
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