Cargando…
A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram
(1) Background: Acute pericarditis is often confused with ST-segment elevation myocardial infarction (STEMI) among patients presenting with acute chest pain in the emergency department (ED). Since a deep learning model (DLM) has been validated to accurately identify STEMI cases via 12-lead electroca...
Autores principales: | Liu, Yu-Lan, Lin, Chin-Sheng, Cheng, Cheng-Chung, Lin, Chin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324403/ https://www.ncbi.nlm.nih.gov/pubmed/35887647 http://dx.doi.org/10.3390/jpm12071150 |
Ejemplares similares
-
Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits
por: Lou, Yu-Sheng, et al.
Publicado: (2022) -
Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study
por: Lin, Chin-Sheng, et al.
Publicado: (2021) -
Atypical Electrocardiogram in Acute Pericarditis: A Case Report
por: Basha, Aymen, et al.
Publicado: (2023) -
Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders
por: Chang, Chiao-Hsiang, et al.
Publicado: (2022) -
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
por: Attia, Itzhak Zachi, et al.
Publicado: (2021)