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 editionZhong, 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 - HarvardZhong, 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.