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Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome
2021
17 citations
Journal Article
green Open Access
Field-Weighted Citation Impact:
2.51
Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome | Researchclopedia
Ervin Sejdić
·
Intelligent Systems Research (United States)
Salah S. Al‐Zaiti
·
University of Pittsburgh