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Updated: Jan 28, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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与ALD和MASLD相关的肝细胞癌的个性化死亡风险分层使用机器学习方法

Miguel Suárez1,2,3, Sergio Gil-Rojas1,2,3, Pablo Martínez-Blanco1,2,3

  • 1Gastroenterology Department, Virgen de la Luz Hospital, 16002 Cuenca, Spain.

Metabolites
|January 27, 2026
PubMed
概括

机器学习,特别是随机森林,准确地预测肝细胞癌 (HCC) 患者的死亡率与酒精相关的肝病 (ALD) 和代谢功能障碍相关的脂肪性肝病 (MASLD). 肝功能和炎症标志物是关键预测因素,表现优于瘤标志物.

关键词:
人工智能的人工智能随机的森林 随机的森林与酒精相关的肝脏疾病肝细胞癌是肝细胞癌.机器学习是机器学习.与代谢功能障碍相关的脂肪性肝病.预后 预后 预后

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