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心不全患者における短期的な死亡率を予測するための,心電図ベースのディープラーニングの開発と説明

Yan Li, Lixia Cheng, Hongmin Zhou

    Journal of global health
    |February 12, 2026
    PubMed
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    新しいディープラーニングモデルであるHF-ECGNetは,心不全患者の短期死亡率予測を,心電図 (ECG) データを分析することによって改善しています. このAIツールは,従来の方法よりもより正確なリスク分層化を可能にします.

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