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Cited by in F6Publishing
For: Li Z, Yuan L, Zhang C, Sun J, Wang Z, Wang Y, Hao X, Gao F, Jiang X. A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data. Front Oncol 2020;10:576901. [PMID: 33552957 DOI: 10.3389/fonc.2020.576901] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Huang T, Kong J, Liu H, Lin Z, Lin Q, Lou J, Zheng S, Bi X, Wang J, Guo W, Li F, Wang J, Zheng Y, Li J, Cheng S, Zhou W, Zeng Y. Dynamic evaluation of postoperative survival in intrahepatic cholangiocarcinoma patients who did not undergo lymphadenectomy: a multicenter study. Scand J Gastroenterol 2023;58:178-84. [PMID: 36036215 DOI: 10.1080/00365521.2022.2113426] [Reference Citation Analysis]
2 Yu Z, Ye X, Liu H, Li H, Hao X, Zhang J, Kou F, Wang Z, Wei H, Gao F, Zhai Q. Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study. Front Oncol 2022;12:893966. [PMID: 35719963 DOI: 10.3389/fonc.2022.893966] [Reference Citation Analysis]
3 Haghbin H, Aziz M. Artificial intelligence and cholangiocarcinoma: Updates and prospects. World J Clin Oncol 2022; 13(2): 125-134 [DOI: 10.5306/wjco.v13.i2.125] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
4 Müller L, Mähringer-Kunz A, Gairing SJ, Foerster F, Weinmann A, Bartsch F, Heuft LK, Baumgart J, Düber C, Hahn F, Kloeckner R. Survival Prediction in Intrahepatic Cholangiocarcinoma: A Proof of Concept Study Using Artificial Intelligence for Risk Assessment. J Clin Med 2021;10:2071. [PMID: 34066001 DOI: 10.3390/jcm10102071] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]