Comparison of deep learning models to traditional Cox regression in predicting survival of colon cancer: Based on the SEER database.

MLA

Qu, Zihan, et al. “Comparison of Deep Learning Models to Traditional Cox Regression in Predicting Survival of Colon Cancer: Based on the SEER Database.” Journal of Gastroenterology & Hepatology, vol. 39, no. 9, Sept. 2024, pp. 1816–26. EBSCOhost, https://doi.org/10.1111/jgh.16598.

APA

Qu, Z., Wang, Y., Guo, D., He, G., Sui, C., Duan, Y., Zhang, X., Meng, H., Lan, L., & Liu, X. (2024). Comparison of deep learning models to traditional Cox regression in predicting survival of colon cancer: Based on the SEER database. Journal of Gastroenterology & Hepatology, 39(9), 1816–1826. https://doi.org/10.1111/jgh.16598

Chicago

Qu, Zihan, Yashan Wang, Dingjie Guo, Guangliang He, Chuanying Sui, Yuqing Duan, Xin Zhang, Hengyu Meng, Linwei Lan, and Xin Liu. 2024. “Comparison of Deep Learning Models to Traditional Cox Regression in Predicting Survival of Colon Cancer: Based on the SEER Database.” Journal of Gastroenterology & Hepatology 39 (9): 1816–26. doi:10.1111/jgh.16598.