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A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data
The COVID-19 emerged at the end of 2019 and has become a global pandemic. There are many methods for COVID-19 prediction using a single modality. However, none of them predicts with 100% accuracy, as each individual exhibits varied symptoms for the disease. To decrease the rate of misdiagnosis, mult...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260502/ https://www.ncbi.nlm.nih.gov/pubmed/34249142 http://dx.doi.org/10.1016/j.bspc.2021.102960 |