Reference change · 10.3390/info13080386

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Retraction Open

Enhancing Machine Learning for Imbalanced Medical Data: A Quantum-Inspired Approach to Synthetic Oversampling (QI-SMOTE)

ref [25] · 2509.02863 · notice #8489 · dispute

Raw extraction · citation context

Random Forest for medical imbalanced data. J. Biomed. Inform. 107, 103465 (2020). 21 https://doi.org/10.1016/j.jbi.2020.103465 [25] Rout, S., Mallick, P. K., Reddy, V. N., and Kumar, S.: A tailored particle swarm and Egyptian vulture optimization-based synthetic minority-oversampling technique for class imbalance problem. Information 13, 386 (2022). https://doi.org/10.3390/info13080386 [26] Cao, W., Yang, P., Ming, Z., et al.: An improved fuzziness based random vector functional link network for liver disease detection. In: 2020 IEEE 6th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS).

Parser render (TeX stripped for reading; raw above is the evidence)

Random Forest for medical imbalanced data. J. Biomed. Inform. 107, 103465 (2020). 21 https://doi.org/10.1016/j.jbi.2020.103465 [25] Rout, S., Mallick, P. K., Reddy, V. N., and Kumar, S.: A tailored particle swarm and Egyptian vulture optimization-based synthetic minority-oversampling technique for class imbalance problem. Information 13, 386 (2022). https://doi.org/10.3390/info13080386 [26] Cao, W., Yang, P., Ming, Z., et al.: An improved fuzziness based random vector functional link network for liver disease detection. In: 2020 IEEE 6th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS)

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