[Show abstract][Hide abstract] ABSTRACT: The goal is to develop a novel approach for cardiac disease prediction and diagnosis using intelligent agents. Initially the symptoms are preprocessed using filter and wrapper based agents. The filter removes the missing or irrelevant symptoms. Wrapper is used to extract the data in the data set according to the threshold limits. The classification is based on the prior and posterior probability of the symptoms with the evidence value. Finally the symptoms are classified in to five classes namely absence, starting, mild, moderate, serious. Using the cooperative approach the cardiac problem is solved and verified.
International Journal of Computer Science and Information Security. 01/2010;
[Show abstract][Hide abstract] ABSTRACT: Agent technology has emerged as a promising technology to develop complex and distributed systems. They have been extensively
applied in a wide range of healthcare areas in the last 10 years. This chapter introduces the basic aspects and properties
of agents and multi-agent systems and argues their adequacy to solve different kinds of problems in healthcare. It also describes
several healthcare areas in which this technology has been successfully applied, introducing, in each case, some of the most
relevant works. The explanation is illustrated with a more detailed description of two agent-based healthcare applications
in which the authors have been involved. One of them automates the enactment of clinical guidelines by coordinating several
healthcare entities of a medical organization. The other is a Web-based knowledge-driven platform that supports the execution
of personalized Home Care services. The benefits that agent technology brings to those approaches are commented and several
lines of future research are enounced.
[Show abstract][Hide abstract] ABSTRACT: The development of efficient and flexible agent-based medical diagnosis systems represents a recent research direction. Medical multiagent systems may improve the efficiency of traditionally developed medical computational systems, like the medical expert systems. In our previous researches, a novel cooperative medical diagnosis multiagent system called CMDS (Contract Net Based Medical Diagnosis System) was proposed. CMDS system can solve flexibly a large variety of medical diagnosis problems. This paper analyses the increased intelligence of the CMDS system, which motivates its use for different medical problems solving.
BRAIN. Broad Research in Artificial Intelligence and Neuroscience. 1(1).
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