An explainable machine learning model for predicting the risk of distant metastasis in intrahepatic cholangiocarcinoma: a population-based cohort study
Abstract Background Distant metastasis (DM) in intrahepatic cholangiocarcinoma (ICC) is associated with poor prognosis and significantly high mortality. Therefore, developing an effective early prediction method for DM risk is crucial for tailoring personalized treatment plans and improving patient...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02952-y |
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