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...

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Detalles Bibliográficos
Autores principales: Alves, Marcos Antonio, Castro, Giulia Zanon, Oliveira, Bruno Alberto Soares, Ferreira, Leonardo Augusto, Ramírez, Jaime Arturo, Silva, Rodrigo, Guimarães, Frederico Gadelha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
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

Internet

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

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