Smash Delta investigates population health in Sydney using Machine Learning.
A process called clustering, in which a machine learning algorithm sifts through large datasets to capture correlations and thematically linked groups, was employed to better understand population health in Sydney on a neighbourhood by neighbourhood basis.
The end result provides a new look into the landscape of 'winners and losers' in the healthscape, while also exploring how these are linked to socioeconomic and environmental drivers.
Have an explore of the results with our interactive tool here
. Make sure you stay through to the end to deep dive on how your neighbourhood performs!