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Deep learning for predicting COVID-19 malignant progression
As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosis and treatment, which has greatly challenged public medical systems. Treatment priority is often determined by the symptom severity based on first assessment. However, clinical observation suggests t...
Autores principales: | Fang, Cong, Bai, Song, Chen, Qianlan, Zhou, Yu, Xia, Liming, Qin, Lixin, Gong, Shi, Xie, Xudong, Zhou, Chunhua, Tu, Dandan, Zhang, Changzheng, Liu, Xiaowu, Chen, Weiwei, Bai, Xiang, Torr, Philip H.S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112895/ https://www.ncbi.nlm.nih.gov/pubmed/34051438 http://dx.doi.org/10.1016/j.media.2021.102096 |
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