Загрузка...
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...
Сохранить в:
| Опубликовано в: : | Health Inf Sci Syst |
|---|---|
| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2020
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|