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NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms
Nowadays, humanity is facing one of the most dangerous pandemics known as COVID-19. Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the world. Positive patients are often suffering from different symptoms that can vary from mild to severe including cough, fever, sor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129611/ https://www.ncbi.nlm.nih.gov/pubmed/34025034 http://dx.doi.org/10.1007/s11071-021-06504-1 |