Jonathon Prosser

Feb 21, 2025 | annalsofvascularsurgery.com | Bharadhwaj Ravindhran |Joseph Cutteridge |Sean Pymer |Jonathon Prosser |Arthur Lim |Murad Hemadneh | +7 more

Machine learning(ML) based prediction modelling has demonstrated superior abilities in analysing non-linear data with complex relationships. Pilot work in this work-stream has shown that ML techniques can accurately forecast adverse cardiovascular and limb events in patients with intermittent claudication. This is the first study to compare the predictive performance of ML approaches, traditional regression, and clinician prediction.