SESSION 426: <br/>Health data science and artificial intelligence
Track 7
| Tuesday, July 11, 2023 |
| 1:50 PM - 3:20 PM |
| C4.6 |
Overview
C4.6
Presentations
Presentations
Speaker
Dr Sheree Lloyd
Senior Lecturer, Australian Institute of Health Service Management
University of Tasmania
Session chair
Biography
Significant experience in the health industry in a range of positions including health information management, activity based funding and project management. Sheree has taught digital health, health informatics, health information management and health service management at Queensland University of Technology, Griffith University and University of Tasmania.
Dr Sankalp Khanna FAIDH
Team Leader - Health Intelligence
Australian e-Health Research Centre, CSIRO
Modelling planned vs actual start time to control the efficiency of surgery
1:50 PM - 2:00 PMBiography
A/Prof Daniel Capurro FAIDH
Associate Professor in Digital Health
The University of Melbourne
Visualising healthcare process variability
2:00 PM - 2:10 PMBiography
Daniel Capurro is an Associate Professor in Digital Health in the School of Computing and Information Systems and Deputy Director of the Centre for the Digital Transformation of Health, both at the University of Melbourne.
Dr Andrew Amos
Director of Training - Psychiatry
QLD Health
Defining the boundaries of psychiatric and medical knowledge: applying cartographic principles to self-organising maps
2:10 PM - 2:20 PMBiography
My new role as Director of Training for North Queensland psychiatric registrars builds on longstanding involvement in medical education, particularly the use of technology to facilitate learning and professional networks. My direct involvement in the development of training infrastructure is complemented by a number of complementary activities, including analysis of medical workforce data to advocate for regional/rural/remote supports, an ongoing PhD on the use of big data for curriculum development, and engagement with the following professional bodies:
* Royal Flying Doctor Service (Qld) - Member of Health Services Committee
* RANZCP - Section of Rural Psychiatry (Qld Chair)
* RANZCP - Chair of eLearning Advisory Group
* RANZCP - Membership Engagement Committee
Dr Georgina Kennedy
Senior Research Fellow
Ingham Institute
Visualising variation in the real-world clinical delivery of chemotherapy protocols
2:20 PM - 2:30 PMBiography
Dr Georgina Kennedy is a clinical research data specialist with an interest in natural language processing and machine-learning data-driven modelling. She is delivering a collaborative research program focusing on the systematic improvement of quality, integrity and capacity of clinical data research using innovative software platforms and methods.
Dr Yutong Wu
Postdoc Fellow
Australian e-Health Research Centre, CSIRO
Developing robust clinical text deep learning models - A "painless" approach
2:30 PM - 2:40 PMBiography
Yutong Wu is a Postdoctoral Fellow in the Australian e-Health Research Centre (AEHRC), CSIRO’s e-Health research program within the Health and Biosecurity business unit. Yutong is working on clinical text extraction and classification research and development involving natural language processing (NLP), information retrieval (IR), machine/deep learning, and terminologies/ontologies.
Dr Michael Shapiro
Physician-scientist
Tel Aviv Sourasky Medical Center
Treatment prediction in the ICU using a partitioned, sequential, deep time series analysis
2:40 PM - 2:50 PMBiography
Michael is an internal medicine resident and a receiver of the Orion physicians-scientist shcolarship at Tel Aviv Sourasky medical center.
His research focuses on applying machine learning for improving healthcare with a current focus on NLP and time series anaysis.
Dr Tomohisa Seki
Research Associate
Department of Healthcare Information Management | The University of Tokyo Hospital
Graph representation learning-based fixed-length clinical feature vector generation from heterogeneous medical records
2:50 PM - 3:00 PMBiography
Tomohisa Seki is a Research Associate at the University of Tokyo Hospital, working on medical informatics research in the fields of cardiovascular and emergency medicine.
Dr Yu Wang
Senior Researcher
Zhejiang Lab
A hemodialysis mortality prediction model based on active contrastive learning
3:00 PM - 3:10 PMBiography
Yu Wang, PhD, associate researcher from Zhijiang Laboratory. The main research directions are medical informatics, clinical decision support based on EHR data, and real-world drug study.