A hybrid intelligent system for skin disease diagnosis

In this paper, an intelligent decision support system has been proposed for skin disease diagnosis using a hybrid model of Case-Based Reasoning and Artificial Neural Network techniques. The proposed model uses nine input variables (attributes) that have a major effect on the skin diagnosing process....

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Bibliographic Details
Published in2017 International Conference on Engineering and Technology (ICET) pp. 1 - 6
Main Authors Dabowsa, Nisreen I. Abo, Amaitik, Nasser M., Maatuk, Abdelsalam M., Aljawarneh, Shadi A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
ANN
Artificial neural networks
CBR
Cognition
Diseases
diseases diagnosis
intelligent system
Libraries
Medical diagnosis
Skin
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Summary:In this paper, an intelligent decision support system has been proposed for skin disease diagnosis using a hybrid model of Case-Based Reasoning and Artificial Neural Network techniques. The proposed model uses nine input variables (attributes) that have a major effect on the skin diagnosing process. The output of the model is the diagnosis and the treatment. An interactive and user friendly computer application has been developed in order to realize the approach. We have applied the system on a real-world data collected from a dermatology department. The model has been validated and the system tested using a separate set of data (test cases). The results demonstrate that the proposed intelligent system is feasible, and its performance is good and acceptable.
DOI:10.1109/ICEngTechnol.2017.8308157