Journal ArticleOPEN ACCESS

Development and validation of a machine learning-based nomogram for prediction of intrahepatic cholangiocarcinoma in patients with intrahepatic lithiasis

  • Shen X
  • Zhao H
  • Jin X
  • et al.
Hepatobiliary Surgery and Nutrition (2021) 10(6) 749-765
DOI: 10.21037/hbsn-20-332
N/ACitations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

Background: Accurate diagnosis of intrahepatic cholangiocarcinoma (ICC) caused by intrahepatic lithiasis

Cite

CITATION STYLE

APA

Shen, X., Zhao, H., Jin, X., Chen, J., Yu, Z., Ramen, K., … Zeng, Q. (2021). Development and validation of a machine learning-based nomogram for prediction of intrahepatic cholangiocarcinoma in patients with intrahepatic lithiasis. Hepatobiliary Surgery and Nutrition, 10(6), 749–765. https://doi.org/10.21037/hbsn-20-332

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free