A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare
In many healthcare applications, datasets for classification may be highly imbalanced due to the rare occurrence of target events such as disease onset. The SMOTE (Synthetic Minority Over-sampling Technique) a...
Source: BioData Mining - Category: Bioinformatics Authors: Tanapol Kosolwattana, Chenang Liu, Renjie Hu, Shizhong Han, Hua Chen and Ying Lin Tags: Research Source Type: research
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