Using Machine Learning to identify factors that predict cardiac mortality

This project will use machine learning and explainable AI techniques to try to identify the factors that predict cardiac mortality.

The project will use a large, complex patient-level database which includes 111, SUS and ambulance data.

The aim is to help identify where resourcing nationally should best be placed to decrease cardiac mortality.