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Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis
BACKGROUND -: Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and healthcare. In this study we aimed to (1) assess if the performance of a deep learning algo...
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| Publicado no: | Circ Arrhythm Electrophysiol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7158877/ https://ncbi.nlm.nih.gov/pubmed/32064914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCEP.119.007988 |
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