Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome.
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DOI: 10.1016/j.jelectrocard.2021.07.012
Abstract: BACKGROUND Novel temporal-spatial features of the 12‑lead ECG can conceptually optimize culprit lesions' detection beyond that of classical ST amplitude measurements. We sought to develop a data-driven approach for ECG feature selection to build a… read more here.
Keywords: detection; machine learning; culprit lesion; optimize culprit ... See more keywords