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Updated: Jul 13, 2025

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从统计推断到机器学习:当代心血管药物治疗中的范式转变

Marin Pavlov1, Domjan Barić2, Andrej Novak1,2

  • 1Department of Cardiology, Dubrava University Hospital, Zagreb, Croatia.

British journal of clinical pharmacology
|October 16, 2023
PubMed
概括

机器学习,特别是XGBoost,确定了心力衰竭的改善结果的关键预测因子,降低了喷射率 (HFrEF) 的患者,优于传统的统计方法. 这种人工智能方法为复杂的HFrEF数据集提供了更深入的见解.

关键词:
沙普利添加剂的解释心血管药理学心血管药理学极端的梯度增强了极端的梯度.心脏衰竭是因为心脏衰竭.可以解释的解释性.机器学习是机器学习.

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