A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases

This study aims to use a machine learning (ML)-based enhanced diagnosis and survival model to predict heart disease and survival in heart failure by combining the cuckoo search (CS), flower pollination algorithm (FPA), whale optimization algorithm (WOA), and Harris hawks optimization (HHO) algorithm...

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Detalles Bibliográficos
Autores principales: Ay, Şevket, Ekinci, Ekin, Garip, Zeynep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983547/
https://www.ncbi.nlm.nih.gov/pubmed/37304052
http://dx.doi.org/10.1007/s11227-023-05132-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983547/
https://www.ncbi.nlm.nih.gov/pubmed/37304052
http://dx.doi.org/10.1007/s11227-023-05132-3

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