Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Heterogeneous Network-Based Chronic Disease Progression Mining by Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi

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