Development of Intelligent Tools for Self-Monitoring and Self-Management of Pre-Diabetes

An estimated 1.7 million Australians (including undiagnosed Type 2) have diabetes, of which 85-90% are Type 2. Pre-diabetes is a condition diagnosed by testing HgBA1c. Studies have found that there are higher chances for people diagnosed with pre-diabetes to develop diabetes. However, it is also found that lifestyle modifications by changes in diet and exercise can delay or prevent the progression into diabetes. The existing challenge is to enable people to adhere to an improved lifestyle long-term. This study aims to investigate the development of an intelligent tool, to apply fuzzy evolutionary computation for diet optimisation, and create a scheduled diet aligned with activities. This will involve a selection of participants diagnosed with pre-diabetes, analysis of their current diet and exercise, and initial testing of the software application using a randomised control trial. The trial will evaluate the tool's effectiveness in enabling self-monitoring and self-management.