Decision support for healthcare in a new information age
Decision Support Systems
Simulation optimization decision support system for ship panel shop operations
WSC '05 Proceedings of the 37th conference on Winter simulation
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
The role of decision support systems in an indeterminate world
Decision Support Systems
Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability
Decision Support Systems
Intelligent environment for monitoring Alzheimer patients, agent technology for health care
Decision Support Systems
An Agent-Based Decision Support System for Ecological-Medical Situation Analysis
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
A Meta-ontological Framework for Multi-agent Systems Design
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Modeling and implementing an agent-based environmental health impact decision support system
Expert Systems with Applications: An International Journal
The Art of Agent-Oriented Modeling
The Art of Agent-Oriented Modeling
Applied Data Mining for Business and Industry
Applied Data Mining for Business and Industry
Fuzzy MCDM approach for selecting the best environment-watershed plan
Applied Soft Computing
Preface: The impact of soft computing for the progress of artificial intelligence
Applied Soft Computing
On the extraction of decision support rules from fuzzy predictive models
Applied Soft Computing
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Abstract: Providing informational support in decision making is one of the priority directions of research in the sphere of public health management. Modern approaches suggest wide usage of intelligent data mining methods and Web-services, but just a few enable to study a complex system from an interdisciplinary point of view. In this paper an agent-based decision support system (ADSS), which embodies the principles of the interdisciplinary approach and facilitates multi-focal view and examination of the ''Environment-Public health'' system, is introduced. The detailed design of the system with the emphasis on the roles, scenarios and its implementation is presented. The data mining procedures used for data preparation, modeling and simulation, which include statistics, methods of artificial intelligence and hybrid models in form of cascade committee machines, are described. Then, the advantages of the proposed hybrid models against ''singular'' modeling methods are demonstrated. Finally, a case study for a selected region is presented and its results are discussed.