Survey Paper on Fraud detection in Healthcare using Deep Learning
Keywords:
Fraud Detection, Deep Learning, HealthcareAbstract
Healthcare is an essential in people’s lives and it must be affordable. The healthcare industry is an intricate system with numerous moving components. It is expanding at an expeditious pace. At the same time, fraud in this industry is turning into a critical problem. One of the issues is the misuse of the medical insurance systems. Manual detection of frauds in the healthcare industry is a strenuous work. Recently, machine learning and data mining techniques are used for automatically detecting the healthcare frauds. In this paper, we attempt to give a review on frauds in healthcare industry and the techniques for detecting such frauds. With an emphasis on the techniques used, determining the significant sources and the features of the healthcare data, various available researches were studied in the literature work. From this review it can be concluded that the advanced machine learning techniques and incipiently acquired sources of the healthcare data would be forthcoming subjects of interest in order to make the healthcare affordable, to improve the effectiveness of healthcare fraud detection and to bestow top quality on healthcare systems. Many recent researches, as reviewed in this paper, use machine learning and deep learning to detect fraud in healthcare industry. There is a need additional research work to determine different unusual patterns of misuse of health insurance systems and more sophisticated machine learning techniques can be used to improve results.
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