Year: 2024
Type: article
Abstract: Fraud detection is critical across various industries, including banking, finance, insurance, healthcare, government, and law enforcement.In recent years, the rise in fraudulent activities has made fraud detection more essential than ever, with billions of dollars lost annually due to fraud.One significant form of fraud is upcoding, where service providers overstate the complexity or cost of a service to gain additional financial compensation, despite performing a less costly service.The integration of artificial intelligence (AI), data mining, and statistical analysis plays a pivotal role in identifying and preventing such fraudulent activities, thereby reducing financial losses.By leveraging advanced data mining techniques, millions of transactions can be analyzed to uncover patterns and detect potential fraud.This paper explores various data mining tools that are particularly effective in detecting upcoding fraud, with a focus on their application in the healthcare insurance sector in India. I.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4405802711