A Comprehensive Analysis of a Framework for Rebalancing Imbalanced Medical Data Using an Ensemble-based Classifier
In medical data, addressing imbalanced datasets is paramount for accurate predictive modeling. This paper delves into exploring a well-established rebalancing framework proposed in previous research. While acknowledged for its effectiveness, the adaptability of this framework across diverse medical...
| Published in: | PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
UNIV PUTRA MALAYSIA PRESS
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001343703200011 |