American Psychological Association 6th edition

Ozkan, E. E., Serel, T. A., Soyupek, A. S., & Kaymak, Z. A. (2024). Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy. Radiation Protection Dosimetry, 200(13), 1244-1250. https://doi.org/10.1093/rpd/ncae154

ISO-690 (author-date, English)

OZKAN, Emine Elif, SEREL, Tekin Ahmet, SOYUPEK, Arap Sedat und KAYMAK, Zumrut Arda, 2024. Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy. Radiation Protection Dosimetry. 1 August 2024. Vol. 200, no. 13, p. 1244-1250. DOI 10.1093/rpd/ncae154.

Modern Language Association 9th edition

Ozkan, E. E., T. A. Serel, A. S. Soyupek, und Z. A. Kaymak. „Utilization of Machine Learning Methods for Prediction of Acute and Late Rectal Toxicity Due to Curative Prostate Radiotherapy.“. Radiation Protection Dosimetry, Bd. 200, Nr. 13, August 2024, S. 1244-50, https://doi.org/10.1093/rpd/ncae154.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ozkan, Emine Elif/Serel, Tekin Ahmet/Soyupek, Arap Sedat/Kaymak, Zumrut Arda: Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy., Radiation Protection Dosimetry 2024, 1244-1250.

Emerald - Harvard

Ozkan, E.E., Serel, T.A., Soyupek, A.S. und Kaymak, Z.A. (2024), „Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy.“, Radiation Protection Dosimetry, Vol. 200 No. 13, S. 1244-1250.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.