A Cryptographically Secure and Explainable AI Framework for Automated Health Insurance Claim Processing Using the Insurefusionnet
InureFusionNet is proposed, a hybrid explainable structured ensemble framework integrating heterogeneous models of deep feature learning, uncertainty-aware prediction, interpretable boosting mechanisms, and high-performance gradient- boosting classifiers through a fusion strategy for robust health insurance claim approval classification.