American Psychological Association 6th edition

Zhong, Q., Li, X., Du, Q., Liang, Q., Luo, D., Wen, J., Yue, H., Liu, W., Zhu, X., & Li, J. (2025). A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-02897-w

ISO-690 (author-date, English)

ZHONG, Qiulu, LI, Xiangde, DU, Qinghua, LIANG, Qianfu, LUO, Danjing, WEN, Jiaying, YUE, Haiying, LIU, Wenqi, ZHU, Xiaodong und LI, Jian, 2025. A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-02897-w.

Modern Language Association 9th edition

Zhong, Q., X. Li, Q. Du, Q. Liang, D. Luo, J. Wen, H. Yue, W. Liu, X. Zhu, und J. Li. „A Machine Learning Based Prediction Model for Short Term Efficacy of Nasopharyngeal Carcinoma“. Scientific Reports, Bd. 15, Nr. 1, Dezember 2025, https://doi.org/10.1038/s41598-025-02897-w.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zhong, Qiulu/Li, Xiangde/Du, Qinghua/Liang, Qianfu/Luo, Danjing/Wen, Jiaying u. a.: A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma, Scientific Reports 2025,

Emerald - Harvard

Zhong, Q., Li, X., Du, Q., Liang, Q., Luo, D., Wen, J., Yue, H., Liu, W., Zhu, X. und Li, J. (2025), „A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-02897-w.

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