APA (7th ed.) Citation

Sun, H., Wu, S., Li, S., & Jiang, X. (2023). Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database. Medicine (Baltimore), 102(10), e33144. https://doi.org/10.1097/MD.0000000000033144

Chicago Style (17th ed.) Citation

Sun, Haili, Shuangshuang Wu, Shaoxiao Li, and Xiaohua Jiang. "Which Model Is Better in Predicting the Survival of Laryngeal Squamous Cell Carcinoma?: Comparison of the Random Survival Forest Based on Machine Learning Algorithms to Cox Regression: Analyses Based on SEER Database." Medicine (Baltimore) 102, no. 10 (2023): e33144. https://doi.org/10.1097/MD.0000000000033144.

MLA (9th ed.) Citation

Sun, Haili, et al. "Which Model Is Better in Predicting the Survival of Laryngeal Squamous Cell Carcinoma?: Comparison of the Random Survival Forest Based on Machine Learning Algorithms to Cox Regression: Analyses Based on SEER Database." Medicine (Baltimore), vol. 102, no. 10, 2023, p. e33144, https://doi.org/10.1097/MD.0000000000033144.