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Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement (Premier Reference Source) By Raman Paranjape, Asha Sadanand

The modeling of healthcare components and systems in order to develop a complete understanding of component interactions is one of the more challenging simulation and modeling problems for software agent systems.

Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement provides relevant theoretical frameworks and the latest empirical research findings used by medical professionals in the implementation of multi-agent systems. This "Premier Reference Source" disseminates understanding on the strategic role of systems modeling in healthcare, a valuable resource to academicians, researchers, and field practitioners.

Table of Contents:

Foreword

Section I: Overview of Healthcare System Issues

Chapter I: Current Practices in Select Healthcare Systems

Chapter II: Economic Efficiency and the Canadian Health Care System

Chapter III: A Review of Recent Contribution in Agent-Based Health Care Modeling

Section II: Healthcare Modeling Systems

Chapter IV: Agency in Health Care System Modeling and Analysis

Chapter V: Operating Room Simulation and Agent-Based Optimization

Chapter VI: Building a Health Care Multi-Agent Simulation System with Role-Based Modeling

Section III: Physician/Patient Support Systems

Chapter VII: HeCaSe2: A Multi-Agent System that Automates the Application of Clinical Guidelines

Chapter VIII: An Agent-Based Modeling System for Wellness

Chapter IX: Using Probabilistic Neural Network to Select a Medical Specialist Agent

Chapter X: A Multi-Agent Simulation of Kidney Function for Medical Education

Section IV: Population Modeling Systems

Chapter XI: Role of Multi-agents System in Creation of Collaborative Environments within Mental Health Domain

Chapter XII: Multi-Agent Systems in Developing Countries

Chapter XIII: Projecting Health Care Factors into Future Outcomes with Agent-Based Modeling

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