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...

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Bibliographic Details

Published in:	Health & Technology Vol. 16; no. 3; pp. 527 - 538
Main Authors:	Hong, Xiaorui, Wang, Ping, Bai, Jingchen, Zhu, Suling
Format:	algorithm equations & formulas research tables/charts Journal Article
Published:	Springer Nature May2026
Online Access:	View this record in EBSCOhost