A Hybrid Rough-Neuro model For Diagnosing Erythemato-Squamous Diseases
In this paper, a Rough-Neuro hybrid methodology of the diagnostic process is proposed as a means to achieve accurate diagnosing of Erythemato-Squamous diseases. The methodology incorporates a two-stage hybrid mechanism. Rough sets Johnson Reducer for reduction of relevant attributes and artificial neural network Levenberg-Marquardt algorithm for the classification of the diseases. The model achieved really good results in the diagnosing process that approached 98.8% diagnosing accuracy.
Keywords: Dermatology, Erythemato-Squamous diseases, Rough set, Reducts, Artificial Neural Networks.
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ABOUT THE AUTHORS
Shahenda Sarhan
mansoura university
Enas Elharir
Magdi Zakaria
mansoura university
Shahenda Sarhan
mansoura university
Enas Elharir
Magdi Zakaria
mansoura university
