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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Materias: | |
| 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 |