CCFS: A Confidence-based Cost-effective feature selection scheme for healthcare data classification.

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)

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摘要
Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of healthcare data. However, it is a challenging issue due to the large search space. Binary Particle Swarm Optimization (BPSO) is an efficient evolutionary computation technique, and has been widely used in FS. In this paper, we proposed a Confidence-ba...
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关键词
Feature extraction,Particle swarm optimization,Medical services,Classification algorithms,Genetic algorithms,Error analysis,Machine learning algorithms
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