Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis.
Simple Summary: This research focuses on improving cancer diagnosis and prognosis by addressing a common problem in data analysis known as class imbalance, where some patient groups are underrepresented. The authors aim to evaluate different resampling methods that can balance the data and enhance t...
| Publicado en: | Cancers Vol. 16; no. 19; pp. 3417 - 3436 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |