APA (7th ed.) Citation

M, M., T, A., R, C., V, P., M, S., G, Z., . . . K, F. (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

Chicago Style (17th ed.) Citation

M, Moscarelli, et al. "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 2026. https://doi.org/10.1093/icvts/ivag144.

MLA (9th ed.) Citation

M, Moscarelli, et al. "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, 2026, https://doi.org/10.1093/icvts/ivag144.