A Predictive Model for Guillain–Barré Syndrome Based on Ensemble Methods

Nowadays, Machine Learning methods have proven to be highly effective on the identification of various types of diseases, in the form of predictive models. Guillain–Barré syndrome (GBS) is a potentially fatal autoimmune neurological disorder that has barely been studied with computational techniques...

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Detalles Bibliográficos
Autores principales: Canul-Reich, Juana, Hernández-Torruco, José, Chávez-Bosquez, Oscar, Hernández-Ocaña, Betania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247730/
https://www.ncbi.nlm.nih.gov/pubmed/30532769
http://dx.doi.org/10.1155/2018/1576927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247730/
https://www.ncbi.nlm.nih.gov/pubmed/30532769
http://dx.doi.org/10.1155/2018/1576927

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