Open AccessDesigning and Implementing Fuzzy Expert System for Diagnosis of Psoriasis
Author(s) -
Farinaz Sanaei,
MohammadAli AfsharKazemi,
Hossein Ahmadi
Publication year - 2019
Publication title -
journal of research in science, engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2693-8464
DOI - 10.24200/jrset.vol3iss02pp41-49
Subject(s) - psoriasis , medicine , dermatology , differential diagnosis , pityriasis rubra pilaris , expert system , test (biology) , pityriasis rosea , disease , fuzzy logic , computer science , artificial intelligence , pathology , paleontology , biology
The differential diagnosis of Erythemato-Squamous disease is a very important issue in dermatology. These diseases include dermatitis seborrhea, lichen planus, Pityriasis rosea, Chronic Dermatiticand Pityriasis rubra pilaris. The differential diagnosis of psoriasis need to spend a lot of time and costs and incorrect or delayed diagnosis will lead to risky consequences for the patient. In this regard, a fuzzy expert system was created to diagnose psoriasis at any time and in any place.Methods: In this study, an expert system is created to diagnose psoriasis based on fuzzy logic and rule-based database using MATLAB software. Also to test system the data from 190 patients with psoriasis was used among which 126 people with psoriasis were selected.Results: The accuracy, sensitivity and accuracy of the system, was obtained 96%, 97% and 95%, respectively. The area under the ROC curve was obtained 0.97 and that of Kappa test was obtained 0.92 (P < 0.001).Conclusion: Given the importance of early diagnosis of psoriasis, the use of expert systems can play an important role in preventing disease progression, reducing severe pain and costs.