Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection

Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection

Abstract Hilar cholangiocarcinoma (hCCA), a rare cancer of the biliary system, has a poor prognosis. This study aimed to investigate the risk factors affecting the survival of patients with hCCA after curative-intent resection and establish a survival predictive model. Clinical data from 340 hCCA pa...

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Bibliographic Details
Main Authors: Yubo Ma, Qi Li, Zhenqi Tang, Kangpeng Li, Chen Chen, Jianjun Lei, Dong Zhang, Zhimin Geng
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Hilar cholangiocarcinoma
Machine learning
Nomogram
Prognosis
Curative-intent resection
Online Access:https://doi.org/10.1038/s41598-025-10329-y
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https://doi.org/10.1038/s41598-025-10329-y

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