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

Abstract 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 ana...

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Hlavní autoři: Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2017-08-01
Edice:BMC Medical Informatics and Decision Making
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On-line přístup:http://link.springer.com/article/10.1186/s12911-017-0508-3
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