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A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Several Artificial Intelligence-based models have been developed for COVID-19 disease diagnosis. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered diagnosis and the potential future of machine-centered disease diagno...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985417/ https://www.ncbi.nlm.nih.gov/pubmed/35399333 http://dx.doi.org/10.1016/j.imu.2022.100941 |