MaGDA-2: Risk prediction and follow-up for prevention of pregnancy complications and type 2 diabetes
Prof Dougie Boyle
MaGDA-2 builds on the original MaGDA project (Mothers after Gestational Diabetes in Australia). Using the University of Melbourne’s GRHANITE® research data extraction tool, we are creating a linked set of de-identified data from multiple sources to understand how mothers at risk of developing diabetes (after gestational diabetes) can be identified. We aim to identify risk factors and develop and validate a risk prediction model related to the progression of gestational diabetes to type 2 diabetes. This project works towards enabling implementation of a ‘personalised medicine meets population health’ approach to gestational and type 2 diabetes.
- Prof Douglas Boyle, Data Lead
- Ms Christine Chidgey, Data analyst
- A/Prof Vincent Versace, Lead Investigator, Deakin University
- Prof Edward Janus, The University of Melbourne
- Prof James Dunbar, Deakin University
- Prof Jane Speight, Deakin University
- Prof Helena Teede, Monash University
- A/Prof Jaqueline Boyle, Monash University
- Prof Brett Sutton, Department of Health Victoria
- Prof Alex Brown, South Australian Health and Medical Research Institute
- Prof Nicola Spurrier, SA Health
- Diabetes Australia
NHMRC partnership grant, Australian Government Department of Health, Diabetes Australia Research Limited, Monash Health, and in-kind funding from South Australia Health
Health Data Science for Medical Research
For further information about this research, please contact the research group leader.
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