Article

Domain shifts decrease the accuracy of machine learning algorithms to detect myocardial ischemia in ECG recordings: A multi-database analysis

2025-11-13

Abstract excerpt

<title>Abstract</title> <p>Machine learning algorithms have shown excellent accuracy in detecting myocardial ischemia from electrocardiograms, but their clinical reliability remains uncertain. In this study, we explored how domain shifts between different datasets affect the performance of these algorithms. We used six publicly available 12-lead ECG databases, containing a total of 55,953 recordings, and applied...

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Literature Corpus work: 8ff1b39c-a476-53f0-b2fa-b4253383ceb1
DOI: 10.21203/rs.3.rs-7893141/v1

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Domain shifts decrease the accuracy of machine learning algorithms to detect myocardial ischemia in ECG recordings: A multi-database analysisDOI 10.21203/rs.3.rs-7893141/v1Read

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