Fetal Health Classification Based on Tri-Ensemble Sampling

Author:

刘 凯

Publisher

Hans Publishers

Reference17 articles.

1. Obstetric Hemorrhage, its role in maternal morbidity and mortality and the importance of its diagnosis, prevention and timely management

2. SMOTE: Synthetic Minority Over-sampling Technique

3. Ester, M., Kriegel, H.P., Sander, J., et al. (1996) A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, Portland, 2-4 August 1996, 226-231.

4. He, H., Bai, Y., Garcia, E.A., et al. (2008) ADASYN: Adaptive Synthetic Sampling Approach for Imbalanced Learning. 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Hong Kong, 1-8 June 2008, 1322-1328.

5. Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification

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