Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy
HIV/AIDS remains a significant global health challenge, requiring accurate predictive models for early detection and improved clinical decision-making. However, developing an effective predictive model faces challenges such as data imbalance and the presence of irrelevant features, which can comprom...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Batam
2025-03-01
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| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9125 |
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