title: Healthcare decision support system for administration of chronic diseases.
abstract: OBJECTIVE
  A healthcare decision-making support model and rule management system is proposed based on a personalized rule-based intelligent concept, to effectively manage chronic diseases.
  
  
  METHODS
  A Web service was built using a standard message transfer protocol for interoperability of personal health records among healthcare institutions. An intelligent decision service is provided that analyzes data using a service-oriented healthcare rule inference function and machine-learning platform; the rules are extensively compiled by physicians through a developmental user interface that enables knowledge base construction, modification, and integration. Further, screening results are visualized for the self-intuitive understanding of personal health status by patients.
  
  
  RESULTS
  A recommendation message is output through the Web service by receiving patient information from the hospital information recording system and object attribute values as input factors. The proposed system can verify patient behavior by acting as an intellectualized backbone of chronic diseases management; further, it supports self-management and scheduling of screening.
  
  
  CONCLUSIONS
  Chronic patients can continuously receive active recommendations related to their healthcare through the rule management system, and they can model the system by acting as decision makers in diseases management; secondary diseases can be prevented and health management can be performed by reference to patient-specific lifestyle guidelines.
authors.affiliation: U-Healthcare Institute, Gachon University, Incheon, Korea.
authors.forename: Ji-In
authors.initials: JI
authors.lastname: Woo
authors.affiliation: Department of IT Convergence Engineering, Gachon University, Seongnam, Korea.
authors.forename: Jung-Gi
authors.initials: JG
authors.lastname: Yang
authors.affiliation: Department of Computer Science, Gachon University, Seongnam, Korea.
authors.forename: Young-Ho
authors.initials: YH
authors.lastname: Lee
authors.affiliation: Department of Computer Science, Gachon University, Seongnam, Korea.
authors.forename: Un-Gu
authors.initials: UG
authors.lastname: Kang
keywords: Chronic Disease; Clinical Decision Support Systems; Expert Systems; Knowledge Bases; Personal Health Records