Cite
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
MLA
Wu, Ruiyang, et al. “Evaluation of Machine Learning Algorithms for the Prognosis of Breast Cancer from the Surveillance, Epidemiology, and End Results Database.” PLoS ONE, vol. 17, no. 1, Jan. 2023, pp. 1–15. EBSCOhost, https://doi.org/10.1371/journal.pone.0280340.
APA
Wu, R., Luo, J., Wan, H., Zhang, H., Yuan, Y., Hu, H., Feng, J., Wen, J., Wang, Y., Li, J., Liang, Q., Gan, F., & Zhang, G. (2023). Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database. PLoS ONE, 17(1), 1–15. https://doi.org/10.1371/journal.pone.0280340
Chicago
Wu, Ruiyang, Jing Luo, Hangyu Wan, Haiyan Zhang, Yewei Yuan, Huihua Hu, Jinyan Feng, et al. 2023. “Evaluation of Machine Learning Algorithms for the Prognosis of Breast Cancer from the Surveillance, Epidemiology, and End Results Database.” PLoS ONE 17 (1): 1–15. doi:10.1371/journal.pone.0280340.