Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome

Guillain-Barré syndrome (GBS) is a neurological disorder which has not been explored using clustering algorithms. Clustering algorithms perform more efficiently when they work only with relevant features. In this work, we applied correlation-based feature selection (CFS), chi-squared, information ga...

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Detalles Bibliográficos
Autores principales: Hernández-Torruco, José, Canul-Reich, Juana, Frausto-Solís, Juan, Méndez-Castillo, Juan José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180197/
https://www.ncbi.nlm.nih.gov/pubmed/25302074
http://dx.doi.org/10.1155/2014/432109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180197/
https://www.ncbi.nlm.nih.gov/pubmed/25302074
http://dx.doi.org/10.1155/2014/432109

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