Using Machine Learning to identify factors that predict cardiac mortality


30 Second Summary

The project uses machine learning and explainable AI to identify the factors that predict cardiac mortality, drawing on a large patient-level database combining 111, SUS and ambulance data. The aim is to help identify where resourcing should best be placed nationally to decrease cardiac mortality.

Machine learning
Explainable AI
Cardiology
SUS Dataset
Author
Affiliation

Ruth Keane

NHS Arden & GEM CSU

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.