To develop an AI algorithm capable of detecting fraudulent health insurance claims in real-time.
To create an interactive dashboard that visualizes the fraud detection results for easy interpretation by healthcare professionals.
To optimize the algorithm for accuracy, efficiency, and scalability to handle a large volume of insurance claims.
To evaluate the performance of the system through various metrics such as precision, recall, and F1 score.
Research existing AI algorithms and techniques for fraud detection in healthcare systems.
Develop and implement a real-time fraud detection algorithm using machine learning techniques.
Design and create an interactive dashboard for visualizing fraud detection results.
Test and optimize the algorithm for efficiency and accuracy using real-world datasets.
Evaluate the system performance and compare it with existing fraud detection methods.
