Medicare Fraud Detection Using Machine Learning
Rahul Suryawanshi, Ritik Bagde, Samay Chavhan, Siya Patil, Vaibhav Piprade, Siddhant Gaikwad, Priti Kale · 2024
The healthcare industry has become an important pillar in modern society but has witnessed increased fraudulent activities. Traditional fraud detection methods have been used to detect potential fraud, but they have been insufficient and time-consuming for certain cases. Data mining, which has emerged as a Fundamental process in knowledge discovery has been successfully applied in Medicare fraud detection. We implemented a prototype that comprised different methods and comparison of each of the methods was carried out to determine which method is most suited for the Medicare dataset