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Paper Details

In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department.
J Am Heart Assoc
15
2021
Author NameAffiliation
Ziad FaramandDepartment of Acute & Tertiary Care Nursing University of Pittsburgh PA.
Ziad FaramandUniversity of Pittsburgh Medical Center Pittsburgh PA.
Richard E GreggAdvanced Algorithm Research Center Philips Healthcare Andover MA.
Christian Martin-GillDepartment of Emergency Medicine University of Pittsburgh PA.
Christian Martin-GillUniversity of Pittsburgh Medical Center Pittsburgh PA.
Samir SabaDivision of Cardiology University of Pittsburgh PA.
Samir SabaUniversity of Pittsburgh Medical Center Pittsburgh PA.
Clifton W CallawayDepartment of Emergency Medicine University of Pittsburgh PA.
Clifton W CallawayUniversity of Pittsburgh Medical Center Pittsburgh PA.
Clifton W CallawayDepartment of Emergency Medicine University of Pittsburgh PA.
Clifton W CallawayUniversity of Pittsburgh Medical Center Pittsburgh PA.
Ervin Sejdi??Department of Electrical & Computer Engineering Swanson School of EngineeringUniversity of Pittsburgh PA.
Ervin Sejdi??Department of Bioengineering Swanson School of EngineeringUniversity of Pittsburgh PA.
Ervin Sejdi??Department of Biomedical Informatics at School of Medicine University of Pittsburgh PA.
Ervin Sejdi??Intelligent Systems Program at School of Computing and Information University of Pittsburgh PA.
Salah S Al-ZaitiDepartment of Acute & Tertiary Care Nursing University of Pittsburgh PA.
Salah S Al-ZaitiDepartment of Emergency Medicine University of Pittsburgh PA.
Salah S Al-ZaitiDivision of Cardiology University of Pittsburgh PA.
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