Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

por Al-Zaiti, Salah, Besomi, Lucas, Bouzid, Zeineb, Faramand, Ziad, Frisch, Stephanie, Martin-Gill, Christian, Gregg, Richard, Saba, Samir, Callaway, Clifton, Sejdić, Ervin
Publicado 2020

In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department

por Bouzid, Zeineb, Faramand, Ziad, Gregg, Richard E., Frisch, Stephanie O., Martin‐Gill, Christian, Saba, Samir, Callaway, Clifton, Sejdić, Ervin, Al‐Zaiti, Salah
Publicado 2021

Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact

por Al-Zaiti, Salah, Martin-Gill, Christian, Zégre-Hemsey, Jessica, Bouzid, Zeineb, Faramand, Ziad, Alrawashdeh, Mohammad, Gregg, Richard, Helman, Stephanie, Riek, Nathan, Kraevsky-Phillips, Karina, Clermont, Gilles, Akcakaya, Murat, Sereika, Susan, Van Dam, Peter, Smith, Stephen, Birnbaum, Yochai, Saba, Samir, Sejdic, Ervin, Callaway, Clifton
Publicado 2023

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

por Al-Zaiti, Salah S., Martin-Gill, Christian, Zègre-Hemsey, Jessica K., Bouzid, Zeineb, Faramand, Ziad, Alrawashdeh, Mohammad O., Gregg, Richard E., Helman, Stephanie, Riek, Nathan T., Kraevsky-Phillips, Karina, Clermont, Gilles, Akcakaya, Murat, Sereika, Susan M., Van Dam, Peter, Smith, Stephen W., Birnbaum, Yochai, Saba, Samir, Sejdic, Ervin, Callaway, Clifton W.
Publicado 2023