Cargando…
Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in electrocardiogram (ECG) classification, but there is a lack of high-performing models for the diagnosis of...
Autores principales: | Gustafsson, Stefan, Gedon, Daniel, Lampa, Erik, Ribeiro, Antônio H., Holzmann, Martin J., Schön, Thomas B., Sundström, Johan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666471/ https://www.ncbi.nlm.nih.gov/pubmed/36380048 http://dx.doi.org/10.1038/s41598-022-24254-x |
Ejemplares similares
-
An emergency ECG sign of ST elevation myocardial infarction
por: Qu, Baoze, et al.
Publicado: (2019) -
Performance of Emergency Department Screening Criteria for an Early ECG to Identify ST‐Segment Elevation Myocardial Infarction
por: Yiadom, Maame Yaa A. B., et al.
Publicado: (2017) -
Renin‐Angiotensin Aldosterone System Inhibitors in Primary Prevention and COVID‐19
por: Loader, Jordan, et al.
Publicado: (2021) -
Recurrent myocardial infarction and emergency department visits: a retrospective study on the Stockholm Area Chest Pain Cohort
por: Holzmann, Martin J, et al.
Publicado: (2023) -
Predictive Value of Serial ECGs in Patients with Suspected Myocardial Infarction
por: Lehmacher, Jonas, et al.
Publicado: (2020)