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Updated: Jan 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习算法的抗结核药物诱导肝损伤风险预测模型的构建和验证

Jingru Cheng1, Ruina Chen1, Hongqiu Pan2

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.

Journal of clinical pharmacology
|November 27, 2025
PubMed
概括

抗结核药物诱导的肝损伤 (ATLI) 是一个主要问题. 使用八个临床因素的机器学习模型准确预测ATLI风险,帮助结核病患者早期检测.

关键词:
轻GBMM 轻GBM 轻GBM 轻GBM抗肺结核药物诱导的肝损伤机器学习算法的算法

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