Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma

Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma

Abstract Objective Prediction of lymph node metastasis (LNM) for intrahepatic cholangiocarcinoma (ICC) is critical for the treatment regimen and prognosis. We aim to develop and validate machine learning (ML)-based predictive models for LNM in patients with ICC. Methods A total of 345 patients with...

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Bibliographic Details
Main Authors: Hui Xie, Tao Hong, Wencai Liu, Xiaodong Jia, Le Wang, Huan Zhang, Chan Xu, Xiaoke Zhang, Wen-Le Li, Quan Wang, Chengliang Yin, Xu Lv
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Gastroenterology
Subjects:
Intrahepatic cholangiocarcinoma
Machine learning algorithms
Lymph node metastasis
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Online Access:https://doi.org/10.1186/s12876-024-03223-w

Internet

https://doi.org/10.1186/s12876-024-03223-w

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