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

Our study provides an effective solution for imbalanced biomedical data classification under the condition of limited samples and high-dimensional feature. The proposed method could offer a theoretical basis for computer-aided diagnosis. It has the potential to be applied in biomedical clinical practice.