Predicting Readmissions or Post-Discharge Mortality After Cardiac Surgery with Machine Learning Using an Australian Database.

Using machine learning, models developed from the Australian ANZSCTS Database demonstrated limited predictive ability for readmissions or post-discharge mortality.

The ANZSCTS Database may require additional informative variables before models become sufficiently accurate.

Individual hospitals or small hospital networks may be best placed to incorporate routinely collected information (such as electronic medical records) alongside ANZSCTS data to create more accurate models.