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An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound()
The COVID-19 pandemic has become one of the biggest threats to the global healthcare system, creating an unprecedented condition worldwide. The necessity of rapid diagnosis calls for alternative methods to predict the condition of the patient, for which disease severity estimation on the basis of Lu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914375/ https://www.ncbi.nlm.nih.gov/pubmed/33684688 http://dx.doi.org/10.1016/j.compbiomed.2021.104296 |