Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

BACKGROUND: Data mining techniques such as support vector machines (SVMs) have been successfully used to predict outcomes for complex problems, including for human health. Much health data is imbalanced, with many more controls than positive cases. METHODS: The impact of three balancing methods and...

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Detalles Bibliográficos
Autores principales: Richardson, Alice M., Lidbury, Brett A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557531/
https://www.ncbi.nlm.nih.gov/pubmed/28806936
http://dx.doi.org/10.1186/s12911-017-0522-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557531/
https://www.ncbi.nlm.nih.gov/pubmed/28806936
http://dx.doi.org/10.1186/s12911-017-0522-5

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