Support Vector Machines with Embedded Reject Option
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Artificial Intelligence in Medicine
Learning to Classify Ordinal Data: The Data Replication Method
The Journal of Machine Learning Research
An Ordinal Data Method for the Classification with Reject Option
ICMLA '09 Proceedings of the 2009 International Conference on Machine Learning and Applications
Computer-aided diagnosis system: A Bayesian hybrid classification method
Computer Methods and Programs in Biomedicine
Pattern Recognition Letters
Pairwise FCM based feature weighting for improved classification of vertebral column disorders
Computers in Biology and Medicine
The data replication method for the classification with reject option
AI Communications
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Computer aided diagnosis systems with the capability of automatically decide if a patient has or not a pathology and to hold the decision on the dificult cases, are becoming more frequent. The latter are afterwards reviewed by an expert reducing therefore time consuption on behalf of the expert. The number of cases to review depends on the cost of erring the diagnosis. In this work we analyse the incorporation of the option to hold a decision on the diagnostic of pathologies on the vertebral column. A comparison with several state of the art techniques is performed. We conclude by showing that the use of the reject option techniques is an asset in line with the current view of the research community.