Disease risk modelling

Comparing different supervised machine learning algorithms for disease prediction
https://link.springer.com/article/10.1186/s12911-019-1004-8

CVD risk modelling for T2D patients
https://www.mdpi.com/1660-4601/17/2/596

An interesting article from ACSW 2019

Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data – https://dl.acm.org/citation.cfm?id=3290738

An interesting article (published in ACSW 2019) on exploring the comorbidity of multiple chronic diseases (diabetes leading to the development of cardiovascular disease)

“Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach” – https://dl.acm.org/citation.cfm?id=3290730

An interesting article on the development of comorbidity network to understand type 2 diabetes progression

https://www.sciencedirect.com/science/article/pii/S1386505618303071

Using administrative claim data and methods from data science, machine learning and network analytics, this group aims to develop predictive modelling of different diseases, especially chronic ones.