Explainable Artificial Intelligence for COVID-19 Diagnosis Through Blood Test Variables

This work proposes an explainable artificial intelligence approach to help diagnose COVID-19 patients based on blood test and pathogen variables. Two glass-box models, logistic regression and explainable boosting machine, and two black-box models, random forest and support vector machine, were used...

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Detalles Bibliográficos
Autores principales: Thimoteo, Lucas M., Vellasco, Marley M., Amaral, Jorge, Figueiredo, Karla, Yokoyama, Cátia Lie, Marques, Erito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722647/
http://dx.doi.org/10.1007/s40313-021-00858-y

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