Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention

BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. M...

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Detalles Bibliográficos
Autores principales: Attallah, Omneya, Karthikesalingam, Alan, Holt, Peter J. E., Thompson, Matthew M., Sayers, Rob, Bown, Matthew J., Choke, Eddie C., Ma, Xianghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543447/
https://www.ncbi.nlm.nih.gov/pubmed/28774329
http://dx.doi.org/10.1186/s12911-017-0508-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543447/
https://www.ncbi.nlm.nih.gov/pubmed/28774329
http://dx.doi.org/10.1186/s12911-017-0508-3

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