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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...
Autores principales: | Attallah, Omneya, Karthikesalingam, Alan, Holt, Peter J. E., Thompson, Matthew M., Sayers, Rob, Bown, Matthew J., Choke, Eddie C., Ma, Xianghong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
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 |
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