Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform

BACKGROUND: Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinically significant information. The objective of this...

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Detalles Bibliográficos
Autores principales: Chorba, John S., Shapiro, Avi M., Le, Le, Maidens, John, Prince, John, Pham, Steve, Kanzawa, Mia M., Barbosa, Daniel N., Currie, Caroline, Brooks, Catherine, White, Brent E., Huskin, Anna, Paek, Jason, Geocaris, Jack, Elnathan, Dinatu, Ronquillo, Ria, Kim, Roy, Alam, Zenith H., Mahadevan, Vaikom S., Fuller, Sophie G., Stalker, Grant W., Bravo, Sara A., Jean, Dina, Lee, John J., Gjergjindreaj, Medeona, Mihos, Christos G., Forman, Steven T., Venkatraman, Subramaniam, McCarthy, Patrick M., Thomas, James D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200722/
https://www.ncbi.nlm.nih.gov/pubmed/33899504
http://dx.doi.org/10.1161/JAHA.120.019905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200722/
https://www.ncbi.nlm.nih.gov/pubmed/33899504
http://dx.doi.org/10.1161/JAHA.120.019905

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