A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data.
The problem of imbalanced data classification often exists in medical diagnosis. Traditional classification algorithms usually assume that the number of samples in each class is similar and their misclassification cost during training is equal. However, the misclassification cost of patient samples...
| Publicado en: | Journal of Biomedical Informatics Vol. 107 |
|---|---|
| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Jul2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |