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Updated: Jul 6, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于随机生存森林模型开发一次性胆道胆道炎的预后模型

Xin-Yu Fu1, Ya-Qi Song2, Jia-Ying Lin1

  • 1Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.

International journal of medical sciences
|January 2, 2024
PubMed
概括

一个新的机器学习模型准确地识别了患有初级胆道胆炎 (PBC) 相关肝硬化的高风险患者. 这种预后工具使得有针对性的治疗成为可能,有可能改善这种罕见的自身免疫性肝病患者的治疗结果.

关键词:
原发性胆道胆道炎的发生.预测 预后 预测 预测随机生存森林 随机生存森林风险评估 风险评估 风险评估

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