Using AI and Data Analysis to Better Predict Cardiovascular Disease
Research type
Research Study
Full title
Using AI and Data Analysis to Better Predict Cardiovascular Disease
IRAS ID
297267
Contact name
Stephen J White
Contact email
Duration of Study in the UK
4 years, 11 months, 30 days
Research summary
This project has brought together a team from the NHS, Manchester Metropolitan University and patient representatives, to co-create a project using modern computing techniques to help understand the many things that influence cardiovascular disease and trigger heart attacks. The first stage of this project will use pseudo-anonymised data from people who had a heart attack between 2015 and 2018 in Salford, using a valuable data resource that links up to 20 years of GP data and 9 years of hospital data. Specialised computing analysis will identify if there is novel information within these patient’s GP and hospital records that identify they were at risk of having a heart attack, the severity of the heart attack and whether they were likely to recover well after the heart attack. Future stages of this project will include other types of data, to better identify who is most at risk of having a heart attack, particularly those who would be considered low risk according to current risk prediction algorithms and look at ways we can use this information to put preventative measures in place.
REC name
Yorkshire & The Humber - South Yorkshire Research Ethics Committee
REC reference
22/YH/0250
Date of REC Opinion
3 Nov 2022
REC opinion
Favourable Opinion