Ziad Faramand - Concepedia

Author

Ziad Faramand

University of Pittsburgh ORCID

Also Known As

Alrawashdeh, Mohammad O., Katherine Dontje, Z Faramand, Z. Faramand, Ziad Faramand

Publications

697

Citations

H-Index

Concepts

All Affiliations

University of Pittsburgh University of Pittsburgh Medical Center Philips (United States)Jordan University of Science and Technology University of Toronto

About

Ziad Faramand is an author at University of Pittsburgh specializing in medicine, emergency medicine, and cardiovascular disease.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	10	10	212
2	Public Health	6	6	93
3	Engineering	2	2	63
4	Data Science	2	2	63
5	Biostatistics	1	1	46

Ziad Faramand

Publications

663

Citations

H-Index

Page 1

	Year	Citations
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction Salah S. Al‐Zaiti, Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, Nature Medicine	2023	231
Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram Salah S. Al‐Zaiti, Lucas Besomi, Zeineb Bouzid, Nature Communications	2020	180
In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department Zeineb Bouzid, Ziad Faramand, Richard E. Gregg, Journal of the American Heart Association Heart FailureEngineeringMachine LearningNovel Ecg FeaturesDiagnosis	2021	46
Comparison of clinical risk scores for triaging high-risk chest pain patients at the emergency department Salah S. Al‐Zaiti, Ziad Faramand, Mohammad Alrawashdeh, The American Journal of Emergency Medicine TriageCardiovascular DiseaseEmergency CarePain MedicineCoronary Unit	2018	35
Prevalence and Predictors of Delay in Seeking Emergency Care in Patients Who Call 9-1-1 for Chest Pain Stephanie Frisch, Ziad Faramand, Hongjin Li, Journal of Emergency Medicine Primary CarePatient SafetyEmergency Department AdministrationOutcomes ResearchEmergency Medical Service	2019	21
Incorporation of Serial 12-Lead Electrocardiogram With Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome Zeineb Bouzid, Ziad Faramand, Christian Martin‐Gill, Annals of Emergency Medicine Machine LearningCardiovascular DiseaseCoronary UnitMyocardial InfarctionCoronary Artery Disease	2022	20
Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome Ziad Faramand, Stephanie Helman, Abdullah Ahmad, Journal of Electrocardiology Electrophysiological EvaluationCardiovascular DiseaseMyocardial InfarctionPatient SafetyDiagnosis	2021	19
Identifying the most important ECG predictors of reduced ejection fraction in patients with suspected acute coronary syndrome Mohammad Alhamaydeh, Richard E. Gregg, Abdullah Ahmad, Journal of Electrocardiology Cardiovascular DiseaseMyocardial InfarctionImportant Ecg PredictorsAcute Myocardial InfarctionReduced Ejection Fraction	2020	18
Diurnal, weekly and seasonal variations of chest pain in patients transported by emergency medical services Ziad Faramand, Stephanie Frisch, Christian Martin‐Gill, Emergency Medicine Journal	2019	17
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, Journal of Electrocardiology Image AnalysisMachine LearningCardiovascular DiseaseData SciencePattern Recognition	2021	17

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