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Updated: Jan 9, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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预测下肢深静脉血栓在患有动脉瘤下关节出血的患者:一个机器学习研究

Fengfeng Jiang1, Chenxing Ye1, Danfeng Yu1

  • 1Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.

Frontiers in neurology
|December 10, 2025
PubMed
概括

机器学习模型准确地预测了下肢深静脉血栓塞 (LEDVT) 风险在动脉瘤下arachnoid出血 (aSAH) 患者. 该工具有助于识别高风险个体,以制定有针对性的预防策略.

关键词:
XGBoost (极端梯度提升) 的使用.动脉瘤下arachnoid出血 (aSAH) 是一个疾病.下肢深静脉血栓症 (LEDVT) 是一种疾病.机器学习 (ML) 是指机器学习.预测 预测 预测 预测

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Point-Of-Care Ultrasound Screening for Proximal Lower Extremity Deep Venous Thrombosis06:45

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