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Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery
The ECG remains the most widely used diagnostic test for characterization of cardiac structure and electrical activity. We hypothesized that parallel advances in computing power, machine learning algorithms, and availability of large-scale data could substantially expand the clinical inferences deri...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951431/ https://www.ncbi.nlm.nih.gov/pubmed/31525078 http://dx.doi.org/10.1161/CIRCOUTCOMES.118.005289 |