University of Stirling

Machine Learning Driven Cardiac Chest Pain Prognostic Model

This Risk Assessment is carried out using NICE (National Institute of Clinical Excellence) Guidelines for RACPC (Rapid Access Chest Pain Clinics)



1. Smoker:

2. Number of Cigarettes per Day: Cigarettes

3. Years of Smoking: years

4. Age: years

5. Sex:

6. Diabetes:

7. Hypertension:

8. Cholesterol:

9. ETT result:

10. MPS result:


Developed by Kamran Farooq, Hicham Atassi, Thomas Mazzocco, Stephen Leslie1, Calum MacRae2, Chris Eckl3,Warner Slack4, Amir Hussain.
This research project is funded by the EPSRC (Grant Ref. No. EP/H501584/1) and 3Sitekit Solutions Ltd in collaboration with 1Cardiology Clinic, Raigmore Hospital 2Brigham and Women's Hospital, Harvard Medical School and 4Beth Israel Deaconess Medical Centre, Harvard Medical School.
All rights reserved. Pilot prototype provided "as is" without any warranty.