Diagnostic Knowledge Acquisition for Agent-Based Medical Applications

  • Authors:
  • Thomas M. Gatton;Malrey Lee;Taeeun Kim;Young-Keun Lee

  • Affiliations:
  • National University, 11255 North Torrey Pines Road, La Jolla, CA 92037, USA;The Research Center of Industrial Technology, School of Electronics & Information Engineering, Chonbuk National University, Korea;School of Engineering, Department of Multimedia, Namseoul University, Korea;Department of Orthopedics Surgery, Chonbuk National University, Korea

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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Abstract

The development of ubiquitous systems for maintenance and control of treatment systems to assist individuals in managing their medical treatment plan would provide an improved system for home healthcare. The assistance of agent-based systems to help doctors and further automate medical treatment systems is limited by medical knowledge data mining accuracy and the complexity of each patient's health history and individual. Automation of knowledge base development for each individual patient would allow efficient personalization of each patient's treatment plan and allow integration of the doctor's individual diagnosis and treatment plan. This paper presents an overview of agent based technologies and describes both historical and state-of-the-art applications of agent technologies in the medical field. Current research and development activity is identified and an algorithm to address the knowledge acquisition bottleneck for diagnostic medical knowledge is present. The algorithm can reduce time consuming knowledge acquisition and allow efficient development of individually tailored medical treatment knowledge bases.