Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice

BACKGROUND: An electrocardiogram (ECG)-based artificial intelligence (AI) algorithm has shown good performance in detecting hypertrophic cardiomyopathy (HCM). However, its application in routine clinical practice may be challenging owing to the low disease prevalence and potentially high false-posit...

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Detalles Bibliográficos
Autores principales: Maanja, Maren, Noseworthy, Peter A., Geske, Jeffrey B., Ackerman, Michael J., Arruda-Olson, Adelaide M., Ommen, Steve R., Attia, Zachi I., Friedman, Paul A., Siontis, Konstantinos C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795257/
https://www.ncbi.nlm.nih.gov/pubmed/36589312
http://dx.doi.org/10.1016/j.cvdhj.2022.10.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795257/
https://www.ncbi.nlm.nih.gov/pubmed/36589312
http://dx.doi.org/10.1016/j.cvdhj.2022.10.002

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