Comparative Performance of Clinician and Computational Approaches in Forecasting Adverse Outcomes in Intermittent Claudication
(2025)
Journal Article
Ravindhran, B., Lim, A., Pymer, S., Prosser, J., Cutteridge, J., Nazir, S., Mohamed, A., Hemadneh, M., Lathan, R., Kapur, R., Johnson, B. F., Smith, G. E., Carradice, D., & Chetter, I. C. (2025). Comparative Performance of Clinician and Computational Approaches in Forecasting Adverse Outcomes in Intermittent Claudication. Annals of vascular surgery, 120, 138-145. https://doi.org/10.1016/j.avsg.2025.05.009
Background: Recent evidence has shown that machine learning (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... Read More about Comparative Performance of Clinician and Computational Approaches in Forecasting Adverse Outcomes in Intermittent Claudication.