Ensemble Learning for Stroke Classification Based on Generative Adversarial Networks.
Background and Objective: Class imbalance in stroke datasets often results in increased misdiagnosis rates, biased risk factor analysis, and limited clinical utility of machine learning models. This study proposed a method combining Generative Adversarial Networks (GAN) with a hard voting ensemble t...
| Publicado en: | Health & Technology Vol. 16; no. 3; pp. 527 - 538 |
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| Autores principales: | , , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |