Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.
Background Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains un...
| Published in: | Oncologist Vol. 30; no. 1; pp. 1 - 13 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Jan2025
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| Online Access: | View this record in EBSCOhost |