Using machine learning to predict outcomes following transcarotid artery revascularization

Using machine learning to predict outcomes following transcarotid artery revascularization

Abstract Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedure that carries a non-negligible risk of complications. Risk prediction tools may help guide clinical decision-making but remain limited. We developed machine learning (ML) algorithms that pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al-Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Prediction
Outcome
Stroke
Death
Transcarotid artery revascularization (TCAR)
Online Access:https://doi.org/10.1038/s41598-024-81625-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-81625-2

Similar Items