title: Development of a Fuzzy Decision Support System to Determine the Severity of Obstructive Pulmonary in Chemical Injured Victims.
abstract: BACKGROUND
  Chronic Obstructive Pulmonary Disease (COPD) is the most common known complication of exposure to mustard gas. Thus, all clinical guidelines have provided some recommendation for diagnosis, clinical management and treatment of this disease. Decision support systems are used to increase the acceptance of clinical guidelines. The purpose of this research is to develop a CDSS to determine the severity of COPD in chemical injured victims.
  
  
  OBJECTIVE
  Development of a decision support system to determine the severity of COPD.
  
  
  METHODS
  First, the variables influencing to determining the severity of the disease was classified through studying the clinical guidelines. Then, the fuzzy model was implemented. To testing the system, the data from 50 patients were used.
  
  
  RESULTS
  the overall accuracy in determining the severity of the injury is equal to 92%, these indicators reflect the proper functioning of the system to assist the physician regarding the diagnosis of chronic obstructive pulmonary disease and determining its severity.
  
  
  CONCLUSIONS
  The CDSS has efficient results and satisfactory performance. Although, the medical expert systems cannot be expected to provide 100 percent correct responses, however, they can be useful in the areas of patient management, diagnosis and treatment planning.
authors.affiliation: Health Information Management Department, School of Health Management & Information Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
authors.forename: Taha
authors.initials: T
authors.lastname: Samad-Soltani
authors.affiliation: Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
authors.forename: Mostafa
authors.initials: M
authors.lastname: Ghanei
authors.affiliation: Health Information Management Department, School of Health Management & Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
authors.forename: Mostafa
authors.initials: M
authors.lastname: Langarizadeh
keywords: Chronic Obstructive Pulmonary Disease; Clinical Decision Support Systems; Fuzzy Logic; Fuzzy system; Military Trauma