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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
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 |
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