About
Contact & Profiles
A5008782791
Research Areas
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
- Medical Coding and Health Information
- Data Mining Algorithms and Applications
National University of Malaysia
2023-2024
Diabetes, a prevalent chronic metabolic disorder, poses significant burden on healthcare systems worldwide.Accurate and timely diagnosis is crucial for effective management complication prevention.Machine learning presents promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases.To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), method that enhances synthetic sample quality...
10.3844/jcssp.2024.1146.1165
article
EN
Journal of Computer Science
2024-08-05
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