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Biomarker Signal Architecture in Cardiovascular Machine Learning: Stability, Redundancy, and Minimal High-Yield Panels After Myocardial Infarction

2026-05-22

Abstract excerpt

<h4>Background</h4> Machine-learning models based on circulating biomarkers are increasingly used in cardiovascular research; however, model performance alone provides limited insight into how the predictive signal is distributed across features. We aimed to characterize the biomarker signal architecture of a machine-learning model distinguishing ST-elevation myocardial infarction (STEMI) from non-ST-elevation my...

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Literature Corpus work
2c8ae43b-0c8e-5e22-a3cf-ef1852848ad6
DOI
10.64898/2026.05.19.26353638
Open publication

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Biomarker Signal Architecture in Cardiovascular Machine Learning: Stability, Redundancy, and Minimal High-Yield Panels After Myocardial InfarctionDOI 10.64898/2026.05.19.26353638
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