Medical Intelligent Decision Support System for the Diagnosis of Psoriasis

Sanaei, Farinaz; Ahmadi, Hossein; Afshar Kazemi, Mohammad Ali

doi:10.22054/ims.2016.4114

Document Type : Research Paper

Authors

¹ MA in IT Management, Faculty of Management, Islamic Azad University, electronic Branch, Tehran, Iran,

² Former Assistant Professor, Faculty of Medicine, Islamic Azad University of Shahroud, Certified board of skin and hair disease from Shahid Beheshti University, Tehran, Iran, Iran

³ Associate Professor, Faculty of Management, Islamic Azad University, Central Branch of Tehran, Tehran, Iran.

https://doi.org/10.22054/ims.2016.4114

Abstract

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The differential diagnosis of Erythemato-Squamous disease is a very important issue in dermatology. These diseases include Dermatitis Seborrheic, 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. 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 the system data from 190 patients with psoriasis was used among which 126 people with psoriasis were selected. 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). 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.

Keywords

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