SESSION 506: <br/>Health data science and artificial intelligence
Track 7
| Wednesday, July 12, 2023 |
| 11:10 AM - 12:40 PM |
| C4.6 |
Overview
C4.6
Presentations
Presentations
Details
The duration of each presentation is 10 minutes, with a Q&A session scheduled at the end. Please utilise the conference app to submit your questions. In case your question remains unanswered during the session, the authors may reply via the app.
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.
Changrong Pan
PhD Candidate
Zhejiang University
Personalised prediction of Parkinson's disease progression based on deep gaussian processes
11:10 AM - 11:20 AMBiography
Changrong PAN is a PhD candidate at the College of Biomedical Engineering and Instrument Science, Zhejiang University. Her research interest is biomedical informatics.
Meg Stevens
Student
UNSW Sydney
Applying and improving a publicly available medication NER pipeline in a clinical cancer EMR
11:20 AM - 11:30 AMBiography
Meg is a MSc (Health Data Science) student at UNSW with a medical background. She completed a dissertation in NLP for medication information extraction in 2022 and is hoping to continue expanding her knowledge and skills as a health data scientist.
Dr Abeed Sarker
Associate Professor
Emory University
Detection of medication mentions and medication change events in clinical notes using transformer-based models
11:30 AM - 11:40 AMBiography
My research interests lie primarily at the intersection of natural language processing, applied machine learning, and medical informatics.
Dr Abeed Sarker
Associate Professor
Emory University
Data augmentation with nearest neighbour classifier for few-shot named entity recognition
11:40 AM - 11:50 AMBiography
My research interests lie primarily at the intersection of natural language processing, applied machine learning, and medical informatics.
Jaya Chaturvedi
PhD Student
King's College London
Identifying mentions of pain in mental health records text: A natural language processing approach
11:50 AM - 12:00 PMBiography
Jaya Chaturvedi is a PhD student with the DRIVE-Health center for doctoral training at King's College London. Her project is aimed at extracting information about pain from mental health records using natural language processing. Her background is in dentistry and data analytics.
Dinithi Vithanage
PhD Candidate
University of Wollongong
Extracting symptoms of agitation in dementia from free-text nursing notes using advanced natural language processing
12:00 PM - 12:10 PMBiography
Dinithi Vithanage is a lecturer of Information Technology at the University of Ruhuna, Sri Lanka. She received her BSc from Kotelawala Defence University; her master of computer science from the University of Sri Jayewardenepura, Sri Lanka. Dinithi is currently reading for her PhD degree at the University of Wollongong, Australia.
A/Prof Yoshimasa Kawazoe
Associate Professor
University of Tokyo
Towards structuring clinical texts: Joint entity and relation extraction from Japanese case report corpus
12:10 PM - 12:20 PMBiography
Yoshimasa Kawazoe is an associate professor at the University of Tokyo working alongside for the development of hospital information systems and medical artificial intelligent system since 2004 after working as a clinician. In recent years, I have applied natural language processing techniques to research advanced information extraction from clinical text.
A/Prof Michelle Barakat-Johnson
Clinical Lead & Nurse Manager of Skin Integrity
Sydney Local Health District
Reshaping wound care: Evaluation of an artificial intelligence app to improve wound assessment and management
12:20 PM - 12:30 PMBiography
Associate Professor Michelle Barakat-Johnson is an internationally renowned clinician researcher with a special interest in skin integrity, implementation science and financial and policy implications of skin integrity issues. Associate Professor Barakat-Johnson has extensive experience as a leader in pressure injury prevention and wound management and is the Clinical Lead and Nurse Manager for Skin Integrity at the Sydney Local Health District (four hospitals and five community health centres). She has worked in the field of complex and chronic care for 20 years.