Comprehensive Survey and Design of a Secure and Intelligent Healthcare Fraud Detection Framework by Integrating Blockchain and Deep Learning

The issue of Healthcare Fraud detection has gained prominence due to the emergence of sophisticated frauds in the virtual world. Recent works used BChain, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to build safe and smart identification systems. The current survey paper is a synthesis of other authors, exploring the techniques, frameworks, and performance comparison of other authors. The paper has distinguished the strengths and weaknesses of various methods by categorizing the current methods based on the technology applied in each method. Alongside this, it also determines some of the critical gaps in research and qualifies future directions regarding the evolution of adaptive, secure, and scalable fraud detection systems.