Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome
Zeineb Bouzid, Ziad Faramand, Richard E. Gregg, Stephanie Helman, Christian Martin‐Gill, Samir Saba, Clifton W. Callaway, Ervin Sejdić, Salah S. Al‐Zaiti
Topics & Concepts
MedicineCulpritEmergency departmentArtificial intelligenceAcute coronary syndromeChest painRandom forestReceiver operating characteristicInternal medicineCardiologyMachine learningComputer scienceMyocardial infarctionPsychiatryECG Monitoring and AnalysisAcute Myocardial Infarction ResearchCardiac electrophysiology and arrhythmias