An intelligent collaborative image-sensing system for disease detection

Abstract

In this paper we introduce a novel framework for disease detection. The framework is based on intelligent agents where each agent studies the interaction among the different medical data observations using reinforcement learning and targets to detect the diseases. The agents then collaborate to reach a joint reliable conclusion on the detected diseases. Intensive experimentation has been conducted on medical data. The obtained results revealed the importance of using intelligent agents for identifying diseases in the healthcare decision making process. In addition, collaboration increases the detection rate where the numerical results reveal the superiority of the proposed framework compared to the baseline solutions for disease detection.