Using machine learning methods to investigate the impact of age on the causes of death in patients with early intrahepatic cholangiocarcinoma who underwent surgery-Reference-Cited by-同舟云学术

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Using machine learning methods to investigate the impact of age on the causes of death in patients with early intrahepatic cholangiocarcinoma who underwent surgery

Published:2024-09-11 Issue: Volume: Page:
ISSN:1699-3055
Container-title:Clinical and Translational Oncology
language:en
Short-container-title:Clin Transl Oncol

Author:

Song Shiqin,Song Shixiong,Zhao Huarong,Huang Shike,Xiao Xinghua,Lv Xiaobo,Deng Yuehong,Tao Yiyin,Liu Yanlin,Su Ke,Cheng Shansha^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12094-024-03716-w.pdf

Reference33 articles.

1. El-Diwany R, Pawlik TM, Ejaz A. Intrahepatic cholangiocarcinoma. Surg Oncol Clin N Am. 2019;28(4):587–99.

2. Lee AJ, Chun YS. Intrahepatic cholangiocarcinoma: the AJCC/UICC updates. Chine Clin Oncol. 2018;7(5):52.

3. Cillo U, Fondevila C, Donadon M, Gringeri E, Mocchegiani F, Schlitt HJ, et al. Surgery for cholangiocarcinoma. Liver Int: Off J Int Assoc Study Liver. 2019;39(Suppl 1):143–55.

4. Mazzaferro V, Gorgen A, Roayaie S, Droz Dit Busset M, Sapisochin G. Liver resection and transplantation for intrahepatic cholangiocarcinoma. J Hepatol. 2020;72(2):364–77.

5. Antwi SO, Mousa OY, Patel T. Racial, ethnic, and age disparities in incidence and survival of intrahepatic cholangiocarcinoma in the United States; 1995–2014. Ann Hepatol. 2018;17(4):604–14.

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