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...

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Detalles Bibliográficos
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:
Article
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

Internet

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

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