SESSION 323: Health data science and artificial intelligence
Track 4
| Monday, July 10, 2023 |
| 2:10 PM - 3:40 PM |
| C4.3 |
Overview
C4.3
Presentations
Presentations
Speaker
Prof Jon Patrick FAIDH
CEO
Health Language Analytics
Session chair
Biography
Jon was an academic researcher of nearly 40 years standing with over 100 publications and Australia’s 2005 national Eureka Science prize. In 2012 he left the University of Sydney to commercialise his Clinical NLP ideas. He is CEO for two medical software companies, operating in Australia and the USA.
Christopher Palmer
Machine Learning Engineer | Data Analyst
Murdoch Children's Research Institute
Fertility-related conversations in the context of COVID-19 and vaccinations
2:10 PM - 2:20 PMBiography
I work in the informatics department at Murdoch Children's Research Institute, specializing in natural language processing and business intelligence to gather information about vaccine safety from a wide variety of data sources.
Dr Antoine Neuraz
Assistant Professor
National Institute for Research in Digital Science and Technology
TAXN: Translate Align Extract Normalise, a multilingual extraction tool for clinical texts
2:20 PM - 2:30 PMBiography
Antoine Neuraz is a medical doctor and researcher, specializing in secondary use of medical data. He has a particular interest in natural language processing methods applied to clinical texts.
Hiromasa Yoshimoto
Researcher
The University of Tokyo
Predicting medical event occurrence using medical insurance claims big data
2:30 PM - 2:40 PMBiography
Patrick Alba
Data Scientist
University of Utah
Development of a natural language processing system to identify clinical documentation of electronic cigarette use
2:40 PM - 2:50 PMBiography
Patrick Alba is the NLP Lead for the VA Informatics and Computing Infrastructure (VINCI). He has over 8 years of experience working developing and validating NLP systems to improve the access and use of unstructured data in clinical research and quality improvement.
Dr Letitia Sng
Research Scientist
Australian e-Health Research Centre, CSIRO
Prediction of coronary artery disease risk using genetic and phenotypic variables
2:50 PM - 3:00 PMBiography
Letitia Sng is a Research Scientist in the Genome Insights team at CSIRO. Her research interests lie in using bioinformatics to uncover the underlying biology of complex diseases. Letitia's current focus is on developing cardiovascular disease risk models using cloud-based machine learning software.
Luise Modersohn
PhD Student
Technical University of Munich
Influence of context in transformer-based medication relation extraction
3:00 PM - 3:10 PMBiography
since 2022: Leader of the Junior Research Group De.xt (MRI/TU Munich)
since 2018: Research Assistant at the JULIE Lab (Friedrich Schiller University Jena)
2014 - 2018: Research Assistant at the Computer Vision Group (Friedrich Schiller University Jena)
2009 - 2014: Master of Bioinformatics/Computational Biology (Friedrich Schiller University Jena)
since 2018: Research Assistant at the JULIE Lab (Friedrich Schiller University Jena)
2014 - 2018: Research Assistant at the Computer Vision Group (Friedrich Schiller University Jena)
2009 - 2014: Master of Bioinformatics/Computational Biology (Friedrich Schiller University Jena)
Prof Ramakanth Kavuluru
Associate Professor
University of Kentucky
COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
3:10 PM - 3:20 PMBiography
R. Kavuluru is an associate professor in biomedical informatics at the University of Kentucky. He works in NLP methods and applications for biomedicine and healthcare.
Prof Yuval Shahar
Professor, Head of Medical Informatics Research Center
Ben-Gurion University of the Negev
Automated process mining and learning of therapeutic actions in the intensive care unit
3:20 PM - 3:30 PMBiography
Yuval Shahar is a professor at Ben Gurion University Information Systems Engineering department and head of the Medical Informatics Research Center there.
He holds an M.D. degree from the Hebrew University, an M.Sc. in computer science from Yale University, and a Ph.D. in Medical Information Sciences from Stanford University.
