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Deep learning COVID-19 detection bias: accuracy through artificial intelligence
BACKGROUND: Detection of COVID-19 cases’ accuracy is posing a conundrum for scientists, physicians, and policy-makers. As of April 23, 2020, 2.7 million cases have been confirmed, over 190,000 people are dead, and about 750,000 people are reported recovered. Yet, there is no publicly available data...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251557/ https://www.ncbi.nlm.nih.gov/pubmed/32462314 http://dx.doi.org/10.1007/s00264-020-04609-7 |