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Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes
To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across various distribution shifts to ensure that these algorithms are robust. This retrospective study is, to the best of our...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023682/ https://www.ncbi.nlm.nih.gov/pubmed/36932150 http://dx.doi.org/10.1038/s41746-023-00791-1 |