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

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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Bibliographic Details
Main Authors: Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Survival analysis
Censoring
Feature selection
Model selection
Factor analysis
Cox’s hazard proportional model
Online Access:http://link.springer.com/article/10.1186/s12911-017-0508-3

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