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RSMOTE: improving classification performance over imbalanced medical datasets
INTRODUCTION: Medical diagnosis is a crucial step for patient treatment. However, diagnosis is prone to bias due to imbalanced datasets. To overcome the imbalanced dataset problem, simple minority oversampling technique (SMOTE) was proposed that can generate new synthetic samples at data level to cr...
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| Udgivet i: | Health Inf Sci Syst |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer International Publishing
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7292850/ https://ncbi.nlm.nih.gov/pubmed/32549976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-020-00112-w |
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