John Hancock

The Effects of Random Undersampling for Big Data Medicare Fraud Detection

2022

We show it is possible to obtain better classification performance for experiments involving highly imbalanced Big Data with the application of data sampling techniques. We apply Random Undersampling to a publicly available Medicare insurance claims …

Improving Medicare Fraud Detection through Big Data Size Reduction Techniques

2023

Classification models serve as effective tools for Medicare fraud detection, but their performance can be influenced by a number of factors. This paper focuses on addressing two common challenges using the Medicare Part D Big …