Towards more optimal medical diagnosing with evolutionary algorithms.
Efficiency in hospital performance is becoming more and more important. Studies showed that diagnosis can considerably reduce the inefficiency, so one of the most important tasks in achieving greater hospital efficiency is to optimize the diagnostic process. For the best of the patient the diagnostic process has to be optimized regarding the number of the examinations and individualized in order to maximize accuracy, sensitivity and specificity. In addition the duration of the diagnostic process has to be minimized and the process has to be performed on the most reliable equipment. The main contribution of our paper is the introduction of the integrated computerized environment DIAPRO enabling the diagnostic process optimization. The DIAPRO is based on a single approach--evolutionary algorithms.
Podgorelec
V
V
Laboratory for System Design, University of Maribor, FERI, Smetanova 17, 2000 Maribor, Slovenia.
Kokol
P
P
D000465:Algorithms; D005075:Biological Evolution; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D017598:Efficiency, Organizational; D006761:Hospitals; D006801:Humans; D008945:Mitral Valve Prolapse / Q000175:diagnosis