Predicting Australian adults at high risk of cardiovascular disease mortality using standard risk factors and machine learning
Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over-or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine learning models to predict CVD mortality...
The dark heart of Type 2 Diabetes
The 1.5 million Australians living with Type 2 Diabetes are twice as likely to suffer a sudden cardiac death, where the heart suddenly and unexpectedly stops working, compared to those without the condition, according to this report.