Speaker: Joyce Ho, PhD, Department of Computer Science, Emory University
Date: Tuesday, Feburary 25, 2020
Time: 03:00pm – 04:15pm
Location: Jesse W. Mason Building, Room 2117
Abstract: Mining biomedical text can be useful for validating new disease subgroups or summarizing information to guide policies and decision making. Yet, existing work predominately focuses on efficient information retrieval. There are other applications where mining biomedical text can be useful. As two motivating examples, researchers are discovering new disease subgroups from secondary analyses of electronic health records. However, such subgroups need to be validated or aligned with current literature. Similarly, systematic reviews serve as a mechanism to summarize current evidence related to a research question. In both scenarios, the abundance of articles can be overwhelming to process manually. In this talk, I will first introduce a scalable framework that produces evidence sets (or relevant articles) using a large corpus of online medical literature. I will discuss some of the challenges associated with term representation and mining biomedical text. I will then present recent work on automating the screening process to allow health services researchers to more efficiently summarize the current findings.
Bio: Joyce Ho is an assistant professor in Computer Science at Emory University. She has a Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin, and an M.A. and B.S. in Electrical Engineering and Computer Science from Massachusetts Institute of Technology. Her research involves the development of novel data mining and machine learning algorithms to address problems in healthcare. Joyce has published papers in premier journals and conferences including KDD, WWW, CIKM, SDM, AISTATS, TKDE, and TMIS. Her work received the best paper award at the 2017 AMIA Joint Summits on Translational Science. Joyce served on numerous program committees for top healthcare informatics conferences and was a conference co-chair for the 2017 CIKM short paper track. She has also co-founded a successful healthcare data analytics company, Accordion Health.