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Updated: Jan 24, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的预测,使用定量DSA对血栓切除术后的出血转化进行预测

Hui Li1, Chao Pang1, Xiaoying Guo1

  • 1Department of Neurosurgery, the first hospital of Hebei Medical University, Hebei Medical University, Shijiazhuang, China.

Scientific reports
|January 22, 2026
PubMed
概括

这项研究开发了一种机器学习模型,使用定量DSA (qDSA) 和临床数据来预测急性缺血性中风后机械血栓切除术 (MT) 后的出血转换 (HT). 该模型实现了0.86的AUC,有助于更好地预测患者的结果.

关键词:
功能选择 功能选择血液动力学特征 血液动力学特征机器学习 机器学习有关数量 DSA 的数据.

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