Feature Selection in High Dimensional Biomedical Data Based on BF-SFLA

High-dimensional biomedical data contained many irrelevant or weakly correlated features, which affected the efficiency of disease diagnosis. This manuscript presented a feature selection method for high-dimensional biomedical data based on the chemotaxis foraging-shuffled frog leaping algorithm (BF...

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Detalles Bibliográficos
Autores principales: Dai, Yongqiang, Niu, Lili, Wei, Linjing, Tang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058075/
https://www.ncbi.nlm.nih.gov/pubmed/35509450
http://dx.doi.org/10.3389/fnins.2022.854685

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058075/
https://www.ncbi.nlm.nih.gov/pubmed/35509450
http://dx.doi.org/10.3389/fnins.2022.854685

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