February 25 @ 4:00 – 5:00 pm
Speaker: Hua Xu, PhD
Presented from UNC-C
Broadcast Link: Seminar
Over the past few decades, the growing use of electronic health records (EHRs) systems has established large, practice-based clinical datasets that are emerging as valuable resources for clinical and translational research. One of the major challenges of using EHRs for clinical research is that much of the detailed patient information is embedded in narrative reports. This presentation will describe recent developments of natural language processing (NLP) methods for extracting phenotypic information from clinical text in EHRs, as well as how such NLP methods can be used to support clinical research such as drug outcome studies.
Hua Xu, PhD is a Robert H. Graham Associate Professor in the School of Biomedical Informatics at The University of Texas Health Science Center at Houston (UTHealth). He directs the Center for Computational Biomedicine. Dr. Xu received his Ph.D. in Biomedical Informatics from Columbia University. Prior to joining UTHealth in 2012, he was an assistant professor at Vanderbilt University in the Department of Biomedical Informatics. Dr. Xu’s primary research interests include biomedical natural language processing and data mining. He was Chair of the American Medical Informatics Association (AMIA) Natural Language Processing (NLP) Working Group in 2013-2014. He has published over 100 peer-reviewed papers and has been principal investigator on a number of grants, including R01s from the National Library of Medicine (NLM), the National Institute of General Medical Science (NIGMS), and the National Cancer Institute (NCI). In 2014, Dr. Xu was elected as a fellow to the American College of Medical Informatics (ACMI).