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Updated: Jul 20, 2025

An R-Based Landscape Validation of a Competing Risk Model
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机器学习模型的衍生和外部验证,用于胸痛风险分层与正常的托罗邦尼

Agustín Fernández-Cisnal1, Pedro Lopez-Ayala2, Ernesto Valero1

  • 1Cardiology Department, Hospital Clínico Universitario de València, Instituto de Investigación Sanitaria (INCLIVA), University of València, Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), València, Spain.

European heart journal. Acute cardiovascular care
|August 2, 2023
PubMed
概括

新的机器学习模型有效地对患有胸痛和低高灵敏性心脏类素T (hs-cTnT) 水平的患者进行风险分层,优于现有的得分并减少不必要的测试.

关键词:
机器学习 机器学习心肌梗塞的心脏病发作预测 预测 预测托罗邦尼 (Troponin) 是一种可怕的药物.

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