Optimizing feature selection to improve medical diagnosis

DOI10.1007/s10479-008-0506-zzbMath1185.90154OpenAlexW2091903645MaRDI QIDQ970180

Ya-Ju Fan, Wanpracha Art Chaovalitwongse

Publication date: 10 May 2010

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0506-z

zbMATH Keywords

classificationdecision making

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Boolean programming (90C09)

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Cites Work

• Unnamed Item
• Logical analysis of data -- an overview: from combinatorial optimization to medical applications
• Electroencephalogram (EEG) time series classification: applications in epilepsy
• An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis
• A feature selection Newton method for support vector machine classification
• Data mining in biomedicine
• Novel Optimization Models for Abnormal Brain Activity Classification
• Linear and Nonlinear Separation of Patterns by Linear Programming
• Multisurface method of pattern separation
• Variable Selection and Model Building via Likelihood Basis Pursuit