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Multi Agent Systems for Healthcare Simulation and Modeling Applications for System Improvement Premier Reference Source 1st Edition by Raman Paranjape, Asha Sadanand ISBN 1605667722 9781605667720

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Multi Agent Systems for Healthcare Simulation and Modeling Applications for System Improvement Premier Reference Source 1st Edition Raman Paranjape Digital Instant Download

Author(s): Raman Paranjape, Asha Sadanand
ISBN(s): 9781605667720, 1605667722
Edition: 1
File Details: PDF, 8.13 MB
Year: 2009
Language: english
SKU: EB-2454860 Category: Tags: ,

Multi Agent Systems for Healthcare Simulation and Modeling Applications for System Improvement Premier Reference Source 1st Edition by Raman Paranjape, Asha Sadanand – Ebook PDF Instant Download/Delivery: 1605667722, 9781605667720
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Product details:

ISBN 10: 1605667722 
ISBN 13: 9781605667720
Author: 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.

Multi Agent Systems for Healthcare Simulation and Modeling Applications for System Improvement Premier Reference Source 1st Table of contents:

  • Introduction to Multi-Agent Systems in Healthcare

    • Overview of Multi-Agent Systems (MAS)

    • Importance of MAS in Healthcare Simulation and Modeling

  • Fundamentals of Healthcare Simulation

    • Simulation Techniques in Healthcare

    • Modeling Healthcare Processes

  • Designing Multi-Agent Systems for Healthcare

    • Agent Architectures and Communication

    • Environment and Interaction Models

  • Applications of MAS in Healthcare

    • Patient Flow and Resource Management

    • Disease Spread Modeling and Epidemic Control

    • Emergency Response Systems

  • Case Studies of MAS in Healthcare Settings

    • Hospital Workflow Optimization

    • Chronic Disease Management

    • Telemedicine and Remote Monitoring

  • Challenges and Solutions in MAS Healthcare Modeling

    • Scalability and Complexity

    • Data Integration and Accuracy

    • Ethical and Privacy Considerations

  • Tools and Platforms for MAS Healthcare Simulation

    • Software Frameworks

    • Development Environments

  • Future Trends and Directions

    • AI Integration and Machine Learning

    • Personalized Medicine and Predictive Analytics

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Tags: Raman Paranjape, Asha Sadanand, Healthcare Simulation