| Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram S Al-Zaiti, L Besomi, Z Bouzid, Z Faramand, S Frisch, C Martin-Gill, ... Nature communications 11 (1), 3966, 2020 | 121 | 2020 |
| Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid, Z Faramand, ... Nature Medicine 29 (7), 1804-1813, 2023 | 35 | 2023 |
| Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review Z Bouzid, SS Al-Zaiti, R Bond, E Sejdić Heart Rhythm 19 (7), 1192-1201, 2022 | 33 | 2022 |
| In search of an optimal subset of ECG features to augment the diagnosis of acute coronary syndrome at the emergency department Z Bouzid, Z Faramand, RE Gregg, SO Frisch, C Martin‐Gill, S Saba, ... Journal of the American Heart Association 10 (3), e017871, 2021 | 22 | 2021 |
| Incorporation of serial 12-lead electrocardiogram with machine learning to augment the out-of-hospital diagnosis of non-ST elevation acute coronary syndrome Z Bouzid, Z Faramand, C Martin-Gill, SM Sereika, CW Callaway, S Saba, ... Annals of Emergency Medicine 81 (1), 57-69, 2023 | 10 | 2023 |
| Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome Z Bouzid, Z Faramand, RE Gregg, S Helman, C Martin-Gill, S Saba, ... Journal of electrocardiology 69, 31-37, 2021 | 9 | 2021 |
| Ubiquitous computing S Mao, Y Khalifa, Z Zhang, K Shu, A Suri, Z Bouzid, E Sejdic Digital Health, 211-230, 2021 | 3 | 2021 |
| Your neighborhood matters: A machine‐learning approach to the geospatial and social determinants of health in 9‐1‐1 activated chest pain Z Faramand, M Alrawashdeh, S Helman, Z Bouzid, C Martin‐Gill, ... Research in nursing & health 45 (2), 230-239, 2022 | 2 | 2022 |
| Unsupervised machine learning identifies symptoms of indigestion as a predictor of acute decompensation and adverse cardiac events in patients with heart failure presenting to … K Kraevsky-Phillips, SM Sereika, Z Bouzid, G Hickey, CW Callaway, ... Heart & Lung 61, 107-113, 2023 | 1 | 2023 |
| ECG detection of ACS by convolutional neural network utilizing transfer learning RE Gregg, J An, S Babaeizadeh, Z Faramand, Z Bouzid, S Al Zaiti Journal of Electrocardiology 73, 18-19, 2022 | 1 | 2022 |
| Risk Stratification of Pulmonary Embolism via ECG-Based Machine Learning Model T Gokhale, NT Riek, Z Bouzid, B Medoff, A Viqar, E Sejdic, M Akcakaya, ... Journal of the American College of Cardiology 83 (13_Supplement), 2315-2315, 2024 | | 2024 |
| Inverse ECG imaging as a novel solution for acute coronary syndrome classification from standard 12-lead ECG in the emergency department Z Bouzid, NT Riek, P Van Dam, T Gokhale, M Akcakaya, E Sejdic, ... Journal of Electrocardiology 78, 5-6, 2023 | | 2023 |
| Robust estimation of ST segment amplitude: Revisiting the logic of automated ECG interpretation systems for STEMI classification NT Riek, P Van Dam, Z Bouzid, T Gokhale, R Gregg, E Sejdic, ... Journal of Electrocardiology 78, 23-24, 2023 | | 2023 |
| PO-02-021 DIRECTION OF REPOLARIZATION IN BASELINE ECG IS PREDICTIVE OF RESPONSE TO CARDIAC RESYNCHRONIZATION THERAPY T Gokhale, Z Bouzid, N Riek, PM van Dam, S Al-Zaiti, SF Saba Heart Rhythm 20 (5), S360-S361, 2023 | | 2023 |
| Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact S Al-Zaiti, C Martin-Gill, J Zègre-Hemsey, Z Bouzid, Z Faramand, ... Research Square, 2023 | | 2023 |
| Incorporation of Serial 12-Lead ECG with Machine Learning to Augment the Prehospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome Z Bouzid, Z Faramand, C Martin-Gill, SM Sereika, C Callaway, S Saba, ... Annals of emergency medicine 81 (1), 57, 2023 | | 2023 |
| Evaluating Sex-Disparities in Machine Learning Decision Support Tools for Acute Coronary Syndrome Classification in the Emergency Department Z Bouzid, Z Faramand, SS Al-Zaiti, E Sejdic Circulation 146 (Suppl_1), A15435-A15435, 2022 | | 2022 |
| An Unsupervised Machine-Learning-Based Approach Elucidates the Prognostic Value of Symptom Clusters in Heart Failure Patients Evaluated in the Emergency Department K Kraevsky-phillips, Z Bouzid, A Ahmad, Z Faramand, SS Al-Zaiti Circulation 144 (Suppl_1), A12673-A12673, 2021 | | 2021 |
| ECG-Based Risk Stratification of Long-Term Mortality in Suspected Acute Coronary Syndrome Z Bouzid, Z Faramand, S Frisch, R Gregg, E Sejdic, SS Al-Zaiti Circulation 144 (Suppl_1), A12636-A12636, 2021 | | 2021 |
| Predicting Emergency Department Disposition at Triage for Suspected Patients With Acute Coronary Syndrome Using Machine Learning Algorithms SO Frisch, Z Bouzid, J Zègre-Hemsey, CW Callaway, HA Devon, E Sejdic Circulation 142 (Suppl_3), A13455-A13455, 2020 | | 2020 |
