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Conventional and machine-learning based risk score for patients with early-stage hepatocellular carcinoma.
Clinical and Molecular Hepatology ( IF 8.9 ) Pub Date : 2024-04-11 , DOI: 10.3350/cmh.2024.0103
Chun-Ting Ho , Elise Chia-Hui Tan , Pei-Chang Lee , Chi-Jen Chu , Yi-Hsiang Huang , Teh-Ia Huo , Yu-Hui Su , Ming-Chih Hou , Jaw-Ching Wu , Chien-Wei Su

The performance of machine-learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups.

中文翻译:

早期肝细胞癌患者的传统和基于机器学习的风险评分。

机器学习 (ML) 在预测肝细胞癌 (HCC) 患者预后方面的表现仍不确定。我们的目标是使用传统方法和机器学习开发风险评分,将早期 HCC 患者分为不同的预后组。
更新日期:2024-04-11
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