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

Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accuracy. Here we report machine learning-based methods f...

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Detalles Bibliográficos
Autores principales: Al-Zaiti, Salah, Besomi, Lucas, Bouzid, Zeineb, Faramand, Ziad, Frisch, Stephanie, Martin-Gill, Christian, Gregg, Richard, Saba, Samir, Callaway, Clifton, Sejdić, Ervin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414145/
https://www.ncbi.nlm.nih.gov/pubmed/32769990
http://dx.doi.org/10.1038/s41467-020-17804-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414145/
https://www.ncbi.nlm.nih.gov/pubmed/32769990
http://dx.doi.org/10.1038/s41467-020-17804-2

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