Highly Imbalanced Classification of Gout Using Data Resampling and Ensemble Method
Xiaonan Si,
Lei Wang,
Wenchang Xu
et al.
Abstract:Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance and have received little attention. This is due to a significant data imbalance problem that affects the learning attention for the majority and minority classes. To overcome this problem, a resampling method called ENaNSMOTE-Tomek link is proposed. It uses exte… Show more
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