Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …

The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Abstract In the United States, advances in technology and medical sciences continue to
improve the general well-being of the population. With this continued progress, programs …

Access to affordable healthcare is a nationwide concern that impacts a large majority of the
United States population. Medicare is a Federal Government healthcare program that …

Healthcare is an integral component in people's lives, especially for the rising elderly
population, and must be affordable. Medicare is one such healthcare program. Claims fraud …

Training predictive models with class-imbalanced data has proven to be a difficult task. This
problem is well studied, but the era of big data is producing more extreme levels of …

Abstract Healthcare in the United States is a critical aspect of most people's lives, particularly
for the aging demographic. This rising elderly population continues to demand more cost …

This study evaluates the use of deep learning and data sampling on a class-imbalanced Big
Data problem, ie Medicare fraud detection. Medicare offers affordable health insurance to …

The healthcare industry is a complex system with many moving parts. One issue in this field
is the misuse of medical insurance systems, such as Medicare. In this paper, we build a …

Abstract The United States healthcare system produces an enormous volume of data with a
vast number of financial transactions generated by physicians administering healthcare …