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Neural Based CAD and CAP Agent System Framework for High Risk Patients in Ubiquitous Environment

  • Insung Jung
  • Myeong-Ho Lee
  • Sanghoon Bae
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

Abstract

The objective of this paper is to describe the diagnosis, detection, and prediction of high risk patient status or level of risk, based on the hospital domain server with agent based intelligent home medical service system. We have proposed a Computer Aided Diagnosis and monitoring system framework for the high risk patient exploiting the ubiquitous artifacts available in the con-temporary medical environment. The proposed framework monitors patients using bio signal devices while they are staying at their homes. Furthermore, the agent based learning process is used to make intelligent inferences and adaptive learning of these private data using Computer Aided Diagnosis system. It can monitor acute COPD using integrated home medical server. The services include prevention, emergency call center and ambulance service in a common platform of ubiquitous environment.

Keywords

Ambulance Service High Risk Disease Ubiquitous Environment Vital Data Vital Signal Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Insung Jung
    • 1
  • Myeong-Ho Lee
    • 2
  • Sanghoon Bae
    • 3
  1. 1.Department of Industrial & Information Systems EngineeringAjou UniversityKorea
  2. 2.Division of Internet InformationSemyung UniversityChungbukKorea
  3. 3.Department of Satellite Information SciencesPukyong National UniversityPusanKorea

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