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 and LI, Jian, 2025. A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma. Scientific Reports. 1 December 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, and J. Li. “A Machine Learning Based Prediction Model for Short Term Efficacy of Nasopharyngeal Carcinoma”. Scientific Reports, vol. 15, no. 1, Dec. 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 et al.: 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. and Li, J. (2025), “A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-02897-w.

Warning: These citations may not always be 100% accurate.