Interpretable machine learning using accumulated local effects to characterise predictors of subclinical leaflet thrombosis after self-expanding transcatheter aortic valve implantation

Interdisciplinary CardioVascular and Thoracic Surgery · Published 2026-05-12 · DOI 10.1093/icvts/ivag144

Free full text

Authors (11)

Marco Moscarelli, Thanos Athanasiou, Roberto Casula, Vincenzo Pernice, Massimo Salardino, Gregorio Zaccone, Adriana Zlahoda-Huzior, Dariusz Dudek, Sabrina Milo, Giuseppe Speziale, Khalil Fattouch

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year
2026

Citation

Moscarelli, M., Athanasiou, T., Casula, R., et al. (2026). Interpretable machine learning using accumulated local effects to characterise predictors of subclinical leaflet thrombosis after self-expanding transcatheter aortic valve implantation. Interdisciplinary CardioVascular and Thoracic Surgery. https://doi.org/10.1093/icvts/ivag144

Related articles