In this paper, empirical data are analyzed to design statistical models and neural networks to predict fraudulent applications by both applicants and healthcare providers. Behavioral patterns are explored to improve model accuracy.
In this paper, empirical data are analyzed to design statistical models and neural networks to predict fraudulent applications by both applicants and healthcare providers. Behavioral patterns are explored to improve model accuracy.