Cargando…
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis and would benefit from immediate reperfusion therapy, but, currently, there are no accurate tools to identify them during init...
Autores principales: | 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. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353937/ https://www.ncbi.nlm.nih.gov/pubmed/37386246 http://dx.doi.org/10.1038/s41591-023-02396-3 |
Ejemplares similares
-
Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact
por: Al-Zaiti, Salah, et al.
Publicado: (2023) -
In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department
por: Bouzid, Zeineb, et al.
Publicado: (2021) -
Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram
por: Al-Zaiti, Salah, et al.
Publicado: (2020) -
A Novel Non-Invasive Assessment of Cardiac Hemodynamics in Patients With Heart Failure and Atrial Fibrillation
por: Khraim, Fadi, et al.
Publicado: (2020) -
Integrating multimodal information in machine learning for classifying acute myocardial infarction
por: Xiao, Ran, et al.
Publicado: (2023)