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The role of interpretable machine learning in Takotsubo syndrome: Toward clinical translation

IF 3.2 2区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
International journal of cardiology Pub Date : 2025-07-06 DOI:10.1016/j.ijcard.2025.133601
Jolanda Sabatino, Rosalba De Sarro, Daniele Torella
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可解释机器学习在Takotsubo综合征中的作用：走向临床翻译。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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来源期刊
International journal of cardiology
International journal of cardiology 医学-心血管系统
CiteScore
6.80
自引率
5.70%
发文量
758
审稿时长
44 days
期刊介绍： The International Journal of Cardiology is devoted to cardiology in the broadest sense. Both basic research and clinical papers can be submitted. The journal serves the interest of both practicing clinicians and researchers. In addition to original papers, we are launching a range of new manuscript types, including Consensus and Position Papers, Systematic Reviews, Meta-analyses, and Short communications. Case reports are no longer acceptable. Controversial techniques, issues on health policy and social medicine are discussed and serve as useful tools for encouraging debate.
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