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Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
The sudden outbreak of coronavirus disease 2019 (COVID-19) revealed the need for fast and reliable automatic tools to help health teams. This paper aims to present understandable solutions based on Machine Learning (ML) techniques to deal with COVID-19 screening in routine blood tests. We tested dif...
| 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/PMC7962588/ https://www.ncbi.nlm.nih.gov/pubmed/33812263 http://dx.doi.org/10.1016/j.compbiomed.2021.104335 |