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

Journal: Biomedical engineering online
Published Date: Dec 4, 2018

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 erroneous guidance for the diagnosis of diseases. Exploring an effective classification method for imbalanced and limited biomedical dataset is a challenging task.

Authors

  • Liyuan Zhang
    School of Computer Science and Technology, Medical Imaging Engineering Laboratory, Changchun University of Science and Technology, No.7089, Weixing Road, Changchun, China.
  • Huamin Yang
    School of Computer Science and Technology, Medical Imaging Engineering Laboratory, Changchun University of Science and Technology, No.7089, Weixing Road, Changchun, China. yhm@cust.edu.cn.
  • Zhengang Jiang
    School of Computer Science and Technology, Medical Imaging Engineering Laboratory, Changchun University of Science and Technology, No.7089, Weixing Road, Changchun, China.

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