Main description:

This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.

Contents:

1. A .NET based Simulator to investigate Swarm Intelligence

2. Swarm Intelligence based Simulation of contagious disease spread

3. Patient scheduling in a public hospital using ant colony optimization

4. Application of Multi-Objective Ant Colony Optimization in Epileptic seizure detection

5. Enhancing facilities in Smart Cities using Swam Intelligence

6. Artificial Bee colony variants and their healthcare applications

7. Review on Intelligent techniques in Healthcare.

8. Medical data mining using ACO

9. Modified Particle Swarm Optimization in Patient Scheduling

10. Butterfly optimization in Healthcare facility planning

11. A nature-inspired system for mental state recognition