Comparison of Different Machine Learning Methods in Prediction of Long-Term Survival After Endovascular Aneurysm Repair

Toshiya Nishibe, Tsuyoshi Iwasa, Namie Toda, Shinobu Akiyama, Masaki Kano, Akinari Iwahori, Shoji Fukuda, Jun Koizumi, Masayasu Nishibe, Department of Medical Informatics and Management, Hokkaido Information University, Department of Cardiovascular Surgery, Tokyo Medical University, Department of Radiology, Chiba University School of Medicine, Department of Surgery, Eniwa Midorino Clinic

Vascular and Endovascular Surgery

Published online on December 23, 2025

Abstract

Vascular and Endovascular Surgery, Ahead of Print.
PurposeLong-term survival after endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm remains a clinical concern, particularly in elderly patients with comorbidities. This study aimed to compare different machine learning (ML) models that ...