SESSION 302: Health data science and artificial intelligence
Track 3
| Monday, July 10, 2023 |
| 11:00 AM - 12:30 PM |
| C4.2 |
Overview
C4.2
Presentations
Presentations
Speaker
Dr Michael Costello FAIDH
AIDH Fellow
Session chair
Biography
Dr Ying Wang
Research Fellow
Australia Institute of Health Innovation
Automating the identification of safety events involving machine learning-enabled medical devices
11:00 AM - 11:10 AMBiography
Dr Ying Wang is a computer scientist and she is passionate about developing advanced ML algorithms to support decision making in health. She leads a project to identify clinical safety events by type and risk levels and responsible for the development of a platform to monitor ML safety events.
Ben Knoll
Research Programmer
University of Minnesota
Advanced care planning content encoding with natural language processing
11:10 AM - 11:20 AMBiography
Ben Knoll is a Research Programmer at the University of Minnesota where he has been developing natural language processing systems, components, and tools since 2012. His research interests include the creation of tools to assist researchers and the application of machine learning and statistical methods to solve NLP problems.
Sy Hwang
NLP Data Scientist
University of Pennsylvania
Using natural language processing to extract and classify symptoms among patients with thyroid dysfunction
11:20 AM - 11:30 AMBiography
Mr Sy Hwang is an MS student specializing in natural language processing (NLP), deep learning, machine learning, and big data processing at the University of Pennsylvania Institute for Biomedical Informatics. He received his BS from Purdue University, MS from University of New Haven, and MS from University of Pennsylvania.
Dr Danielle Mowery
Chief Research Information Officer | Assistant Professor
University of Pennsylvania
Relation detection to identify stroke assertions from clinical notes using natural language processing
11:30 AM - 11:40 AMBiography
Dr Danielle Mowery serves as the Penn Medicine Chief Research Information Officer, Assistant Professor of Informatics, as well as Scientific Director of the Clinical Research Informatics Core within the Institute for Biomedical Informatics at the University of Pennsylvania. Her research bridges the gaps between clinical data and actionable healthcare knowledge.
Dr Thankam Thyvalikakath
Professor & Research Scientist, Director, Dental Informatics
Regenstrief Institute
Rule-based text classification of dental diagnosis
11:40 AM - 11:50 AMBiography
Dr Thyvalikakath is Professor and Founding Director of Dental Informatics at the Indiana University School of Dentistry (IUSD) and Regenstrief Institute. She is also Associate Dean of the Office of Dental Informatics and Digital Health at IUSD. Dr Thyvalikakath serves as principal/co-Investigator on National Institutes of Health grants. Her research projects include leveraging electronic health record data for clinical research and quality improvement purposes; applying user- centered design and cognitive engineering methods to design clinical systems; implementing clinical decision support systems to promote preventive management; and facilitating health information exchange to enhance care-coordination between medical and dental care providers.
Prof Keyuan Jiang
Professor
Purdue University Northwest
Lean Franzl Lim Yao
Doctoral Student
Nara Institute of Science & Technology
Extracting spatio-temporal trends in medical research prioritization through natural language processing of case report abstracts
12:00 PM - 12:10 PMBiography
Lean Yao is a doctoral student at the Social Computing Lab of the Nara Institute of Science and Technology. He is currently doing research on NLP mainly using NER and topic modeling tools and is interested in topics relating to rare diseases.
Dr Hua Xu
Professor
Yale University
Extracting drug-protein relation from literature using ensembles of biomedical transformers
12:10 PM - 12:20 PMBiography
Hua Xu, PhD, FACMI is a Professor at Yale University School of Medicine. He has worked on different clinical NLP topics, including syntactic parsing, word sense disambiguation, and active learning and has built multiple clinical NLP systems including the medication information extraction tool MedEx and a recent comprehensive clinical NLP system CLAMP. Dr Xu served as the Chair of AMIA NLP working group between 2014-2015. He taught NLP tutorials at various conferences such as AMIA, Medinfo, AIME etc.