Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2.

Díaz-Lozano, Miguel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César

Díaz-Lozano, Miguel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César.

Afiliación

Díaz-Lozano M; Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), 14004 Córdoba, Spain.
Guijo-Rubio D; Department of Computer Science and Numerical Analysis, University of Cordoba, 14071 Cordoba, Spain.
Gutiérrez PA; School of Computing Sciences, University of East Anglia, NR4 7TJ Norwich, United Kingdom.
Hervás-Martínez C; Department of Computer Science and Numerical Analysis, University of Cordoba, 14071 Cordoba, Spain.

Expert Syst Appl ; 225: 120103, 2023 Sep 01.

Article en En | MEDLINE | ID: mdl-37090447

Palabras clave

COVID-19 incidence estimation; Clustering; Evolutionary algorithms; Forecasting; Neural networks

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Expert Syst Appl Año: 2023 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos

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