https://scholars.lib.ntu.edu.tw/handle/123456789/637321
標題: | Weighted SMOTE Algorithm: A Tool To Improve Disease Prediction With Imbalanced Data | 作者: | Patnaik, Rakesh Kumar MING-CHIH HO Yeh, J. Andrew |
關鍵字: | Biomarker | Liver | Machine Learning | Oversampling | Weighted SMOTE | 公開日期: | 1-一月-2023 | 來源出版物: | 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings | 摘要: | In the medical field, acquiring a sufficient number of medical samples can be challenging, and the collected datasets may be imbalanced and small. To address these issues, we propose a weighted SMOTE algorithm that targets imbalanced datasets. This technique has been applied to a dataset of breath biomarkers of liver disease as a feature set and a supervised learning model. Our results show that the proposed method significantly improves the prediction probability and classification performance of the chosen model in both the original imbalanced dataset and the balanced dataset. This study demonstrates the potential of the proposed approach to enhance machine learning performance while dealing with small and imbalanced datasets in medical applications. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637321 | ISBN: | 9798350324174 | DOI: | 10.1109/ICCE-Taiwan58799.2023.10226703 |
顯示於: | 醫學系 |
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