Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN

Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN

Abstract Background Imbalanced data classification is an inevitable problem in medical intelligent diagnosis. Most of real-world biomedical datasets are usually along with limited samples and high-dimensional feature. This seriously affects the classification performance of the model and causes erro...

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Bibliographic Details
Main Authors: Liyuan Zhang, Huamin Yang, Zhengang Jiang
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BioMedical Engineering OnLine
Subjects:
Imbalanced data classification
Limited biomedical samples
High-dimensional feature
Multilayer ELM
Dynamic GAN
Online Access:http://link.springer.com/article/10.1186/s12938-018-0604-3

Internet

http://link.springer.com/article/10.1186/s12938-018-0604-3

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