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Updated: Jul 20, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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探索机器学习的可行性,以在怀疑NSTE-ACS的胸痛患者中在3个月内预测风险分层

Zhi Chang Zheng1, Wei Yuan2, Nian Wang3

  • 1Cardiovascular Medicine Department, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Capital Medical University, Beijing 100068, China;Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

Biomedical and environmental sciences : BES
|August 3, 2023
PubMed
概括

机器学习 (ML) 模型显示在预测胸痛患者主要不良心血管事件 (MACE) 方面优于HEART得分. ML准确地识别了这些心脏事件的关键风险因素.

关键词:
胸部疼痛 胸部疼痛 胸部疼痛马塞斯 (MACEs) 是一个机器学习是机器学习.怀疑的NSTE-ACSS是什么意思

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