designing and implementing fuzzy expert system for diagnosis of psoriasis

introduction: 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.