title: Designing and Implementation of Fuzzy Case-based Reasoning System on Android Platform Using Electronic Discharge Summary of Patients with Chronic Kidney Diseases.
abstract: BACKGROUND
  Case-based reasoning (CBR) systems are one of the effective methods to find the nearest solution to the current problems. These systems are used in various spheres as well as industry, business, and economy. The medical field is not an exception in this regard, and these systems are nowadays used in the various aspects of diagnosis and treatment.
  
  
  METHODS
  In this study, the effective parameters were first extracted from the structured discharge summary prepared for patients with chronic kidney diseases based on data mining method. Then, through holding a meeting with experts in nephrology and using data mining methods, the weights of the parameters were extracted. Finally, fuzzy system has been employed in order to compare the similarities of current case and previous cases, and the system was implemented on the Android platform.
  
  
  CONCLUSIONS
  The data on electronic discharge records of patients with chronic kidney diseases were entered into the system. The measure of similarity was assessed using the algorithm provided in the system, and then compared with other known methods in CBR systems.
  
  
  CONCLUSIONS
  Developing Clinical fuzzy CBR system used in Knowledge management framework for registering specific therapeutic methods, Knowledge sharing environment for experts in a specific domain and Powerful tools at the point of care.
authors.affiliation: Department of Health Information Management, School of Allied Medical Sciences, Tehran, University of Medical Sciences, Tehran, Iran.
authors.forename: Shahram
authors.initials: S
authors.lastname: Tahmasebian
authors.affiliation: Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
authors.forename: Mostafa
authors.initials: M
authors.lastname: Langarizadeh
authors.affiliation: Department of Health Information Management, School of Allied Medical Sciences, Tehran, University of Medical Sciences, Tehran, Iran.
authors.forename: Marjan
authors.initials: M
authors.lastname: Ghazisaeidi
authors.affiliation: Department of Nephrology, Tehran University of Medical Sciences; Research Center of Iranian Tissue Bank, Tehran, Iran.
authors.forename: Mitra
authors.initials: M
authors.lastname: Mahdavi-Mazdeh
keywords: Android; Case-based inference system; Data mining; Fuzzy systems; Structured record summary