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 | 156 | 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 | 116 | 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 | 44 | 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 | 34 | 2021 |
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 | 18 | 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 | 17 | 2023 |
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 | 4 | 2023 |
Ubiquitous computing S Mao, Y Khalifa, Z Zhang, K Shu, A Suri, Z Bouzid, E Sejdic Digital Health, 211-230, 2021 | 4 | 2021 |
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction NT Riek, M Akcakaya, Z Bouzid, T Gokhale, S Helman, K Kraevsky-Philips, ... arXiv preprint arXiv:2405.09567, 2024 | 2 | 2024 |
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 |
Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome Z Bouzid, E Sejdic, C Martin-Gill, Z Faramand, S Frisch, M Alrawashdeh, ... European Heart Journal, ehae880, 2025 | 1 | 2025 |
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 |
Towards Unveiling the Potential of the 12-Lead Electrocardiogram in Predicting Acute Coronary Syndrome via Machine Learning Z Bouzid University of Pittsburgh, 2024 | | 2024 |
Saliency maps to enhance explainability of occlusion myocardial infarction classification among pre-hospital chest pain patients NT Riek, Z Bouzid, T Gokhale, P Van Dam, K Kraevsky-Philips, S Helman, ... Journal of Electrocardiology 84, 12-13, 2024 | | 2024 |
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 |
Machine learning with electrocardiograms to optimize mortality risk stratification in patients with suspected acute coronary syndrome Z Bouzid, E Sejdic, C Martin-Gill, Z Faramand, M Alrawashdeh, ... European Heart Journal: Acute Cardiovascular Care 13 (Supplement_1), zuae036 …, 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, rs. 3. rs-2510930, 2023 | | 2023 |