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Machine learning-based survival analysis and risk stratification for patients with cholangiocarcinoma

2026-07-31

Abstract excerpt

<title>Abstract</title> <p>Background/Aims Cholangiocarcinoma (CCA) has heterogeneous biology and poor survival, while existing prognostic tools show limited discrimination. We aimed to develop and internally validate interpretable machine-learning (ML) survival models to improve risk stratification in treatment-naïve patients with CCA. Methods We retrospectively assembled a single-center cohort from Taipei Veter...

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Literature Corpus work
611087f2-b5ef-55bc-ac01-0fc848c28153
DOI
10.21203/rs.3.rs-10247942/v1
Open publication

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Machine learning-based survival analysis and risk stratification for patients with cholangiocarcinomaDOI 10.21203/rs.3.rs-10247942/v1
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