Cargando…
Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk
AIMS: Incorporation of sex in study design can lead to discoveries in medical research. Deep neural networks (DNNs) accurately predict sex based on the electrocardiogram (ECG) and we hypothesized that misclassification of sex is an important predictor for mortality. Therefore, we first developed and...
Autores principales: | Siegersma, Klaske R, van de Leur, Rutger R, Onland-Moret, N Charlotte, Leon, David A, Diez-Benavente, Ernest, Rozendaal, Liesbeth, Bots, Michiel L, Coronel, Ruben, Appelman, Yolande, Hofstra, Leonard, van der Harst, Pim, Doevendans, Pieter A, Hassink, Rutger J, den Ruijter, Hester M, van Es, René |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707888/ https://www.ncbi.nlm.nih.gov/pubmed/36713005 http://dx.doi.org/10.1093/ehjdh/ztac010 |
Ejemplares similares
-
Outcomes in patients with a first episode of chest pain undergoing early coronary CT imaging
por: Siegersma, Klaske R, et al.
Publicado: (2022) -
Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching
por: Siegersma, Klaske R, et al.
Publicado: (2022) -
Routine clinical care data from thirteen cardiac outpatient clinics: design of the Cardiology Centers of the Netherlands (CCN) database
por: Bots, Sophie H., et al.
Publicado: (2021) -
Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms
por: Vranken, Jeroen F, et al.
Publicado: (2021) -
Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram
por: van de Leur, Rutger R, et al.
Publicado: (2022)