Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values

This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious bias in predictive modeling. Since standard data m...

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Detalles Bibliográficos
Autores principales: Razzaghi, Talayeh, Roderick, Oleg, Safro, Ilya, Marko, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873242/
https://www.ncbi.nlm.nih.gov/pubmed/27195952
http://dx.doi.org/10.1371/journal.pone.0155119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873242/
https://www.ncbi.nlm.nih.gov/pubmed/27195952
http://dx.doi.org/10.1371/journal.pone.0155119

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