title: Agent-based intelligent medical diagnosis system for patients.
abstract: BACKGROUND
  According to the analysis of the challenges faced by the current public health circumstances such as the sharp increase in elderly patients, limited medical personnel, resources and technology, the agent-based intelligent medical diagnosis system for patients (AIMDS) is proposed in this research.
  
  
  OBJECTIVE
  Based on advanced sensing technology and professional medical knowledge, the AIMDS can output the appropriate medical prescriptions and food prohibition when the physical signs and symptoms of the patient are inputted.
  
  
  METHODS
  Three core modules are designed include sensing module, intuition-based fuzzy set theory/medical diagnosis module, and medical knowledge module.
  
  
  RESULTS
  The result shows that the optimized prescription can reach the desired level, with great curative effect for patient disease, through a case study simulation.
  
  
  CONCLUSIONS
  The presented AIMDS can integrate sensor technique and intelligent medical diagnosis methods to make an accurate diagnosis, resulting in three-type of optimized descriptions for patient selection.
authors.forename: Yingfeng
authors.initials: Y
authors.lastname: Zhang
authors.forename: Sichao
authors.initials: S
authors.lastname: Liu
authors.forename: Zhenfei
authors.initials: Z
authors.lastname: Zhu
authors.forename: Shubin
authors.initials: S
authors.lastname: Si
mesh_terms: D000465:Algorithms; D003695:Delivery of Health Care / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D017143:Fuzzy Logic; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods; D014584:User-Computer Interface
keywords: Intuitionistic fuzzy set theory; agent; intelligent medical diagnosis; medical knowledge; sensing technology