Predicting outcomes following lower extremity open revascularization using machine learning

Predicting outcomes following lower extremity open revascularization using machine learning

Abstract Lower extremity open revascularization is a treatment option for peripheral artery disease that carries significant peri-operative risks; however, outcome prediction tools remain limited. Using machine learning (ML), we developed automated algorithms that predict 30-day outcomes following l...

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Bibliographic Details
Main Authors: Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52944-1

Internet

https://doi.org/10.1038/s41598-024-52944-1

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