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 editionZhong, 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 - HarvardZhong, 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.