Bharadhwaj Ravindhran
Comparative Performance Of Clinician And Computational Approaches In Forecasting Adverse Outcomes In Intermittent Claudication
Ravindhran, Bharadhwaj; Cutteridge, Joseph; Pymer, Sean; Prosser, Jonathon; Lim, Arthur; Hemadneh, Murad; Nazir, Shahani; Mohamed, Abduraheem; Lathan, Ross; Johnson, Brian Frederick; Smith, George; Carradice, Daniel; Chetter, Ian C.
Authors
Joseph Cutteridge
Mr Sean Pymer Sean.Pymer@hull.ac.uk
Academic Clinical Exercise Physiologist
Jonathon Prosser
Arthur Lim
Murad Hemadneh
Shahani Nazir
Abduraheem Mohamed
Ross Lathan
Brian Frederick Johnson
Mr George Smith George.Smith@hull.ac.uk
Senior Lecturer
Professor Daniel Carradice D.Carradice@hull.ac.uk
Senior Lecturer in Vascular and Endovascular Surgery
Professor Ian Chetter I.Chetter@hull.ac.uk
Professor of Vascular Surgery
Abstract
Introduction and Objectives
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.
Citation
Ravindhran, B., Cutteridge, J., Pymer, S., Prosser, J., Lim, A., Hemadneh, M., Nazir, S., Mohamed, A., Lathan, R., Johnson, B. F., Smith, G., Carradice, D., & Chetter, I. C. (2025, February). Comparative Performance Of Clinician And Computational Approaches In Forecasting Adverse Outcomes In Intermittent Claudication. Presented at Vascular & Endovascular Surgery Society 49th Annual Winter Meeting, Breckenridge, Colorado
| Presentation Conference Type | Conference Abstract |
|---|---|
| Conference Name | Vascular & Endovascular Surgery Society 49th Annual Winter Meeting |
| Start Date | Feb 6, 2025 |
| End Date | Feb 9, 2025 |
| Acceptance Date | Feb 1, 2025 |
| Online Publication Date | Feb 21, 2025 |
| Publication Date | 2025-03 |
| Deposit Date | May 13, 2025 |
| Print ISSN | 0890-5096 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Volume | 112 |
| Pages | 449-450 |
| DOI | https://doi.org/10.1016/j.avsg.2024.11.089 |
| Public URL | https://hull-repository.worktribe.com/output/5175964 |