Nishibe, T., Iwasa, T., Kano, M., Akiyama, S., Fukuda, S., Koizumi, J., & Nishibe, M. (2025). Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis. Vascular & Endovascular Surgery, 59(6), 577-583. https://doi.org/10.1177/15385744251329673
ISO-690 (author-date, English)NISHIBE, Toshiya, IWASA, Tsuyoshi, KANO, Masaki, AKIYAMA, Shinobu, FUKUDA, Shoji, KOIZUMI, Jun und NISHIBE, Masayasu, 2025. Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis. Vascular & Endovascular Surgery. 1 August 2025. Vol. 59, no. 6, p. 577-583. DOI 10.1177/15385744251329673.
Modern Language Association 9th editionNishibe, T., T. Iwasa, M. Kano, S. Akiyama, S. Fukuda, J. Koizumi, und M. Nishibe. „Predicting Long-Term Survival After Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.“. Vascular & Endovascular Surgery, Bd. 59, Nr. 6, August 2025, S. 577-83, https://doi.org/10.1177/15385744251329673.
Mohr Siebeck - Recht (Deutsch - Österreich)Nishibe, Toshiya/Iwasa, Tsuyoshi/Kano, Masaki/Akiyama, Shinobu/Fukuda, Shoji/Koizumi, Jun u. a.: Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis., Vascular & Endovascular Surgery 2025, 577-583.
Emerald - HarvardNishibe, T., Iwasa, T., Kano, M., Akiyama, S., Fukuda, S., Koizumi, J. und Nishibe, M. (2025), „Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.“, Vascular & Endovascular Surgery, Vol. 59 No. 6, S. 577-583.