Healthcare Data Analytics Using Swarm Intelligence

Summary

In present scenario, healthcare system procreates a huge amount of heterogeneous data. So, AI healthcare system is an interactive or intelligent system that managed that data in a meaningful way. It gives various techniques to optimize the data. Basically, SI is a rising technique of AI that is based on the behavioral model of social insects. SI is a problem‐resolving technique that comes from the information processing category. SI theory depends on the multiplicity, dispensation, haphazardness, and untidiness. This technique solves problems, which relies on learning, creativity, and perception ability. The main focus of the chapter is to produce some principle foundation that helps to find the solutions in optimistic form. This paper also discusses the SI techniques like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), use of Swarm AI in healthcare, and issues and challenges of SI healthcare system.