AI2HEAL DATATHON 2022
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Clinical natural language processing (NLP) is a specialization of NLP that allows computers to understand the rich meaning that lies behind a doctor's written analysis of a patient
Team Leaders
Associate Professor & Director Of Natural Language Processing
Yonghui Wu, PhD
Dr. Wu is an Associate Professor with Tenure in the College of Medicine, Department of Health Outcomes & Biomedical Informatics at the University of Florida. He also serves as the Director of Natural Language Processing (NLP) at UF Clinical and Translational Science Institute (CTSI) and OneFlorida Clinical Research Consortium. Dr. Wu’s research interests include Natural Language Processing (NLP) and Machine Learning. He has published over 60 peer-reviewed papers and has been the principal investigator for a number of grants, including an NLP grant from Patient-Centered Outcomes Research Institute. His research has contributed substantially to clinical and biomedical NLP – including information extraction from clinical notes and biomedical literature, Word Sense Disambiguation (WSD) for ambiguous biomedical terms; predictive modeling for drug adverse reactions and drug new indications (known as drug repurposing); various applications to apply NLP and machine learning to solve clinical and translational problems.
Assistant Professor
Jie Xu, PhD
Dr. Xu's research interests are machine learning, health informatics, and the intersection of both, with a particular focus on metric learning, federated learning, and privacy-preserving techniques. She has been working on developing novel computational algorithms for analyzing various kinds of healthcare data, including Electronic Health Records (EHRs), medical and pharmacy claims data, medical imaging data, etc.