Amir Jamshidinezhad

Department of Health Information Technology, Faculty of Para Medical Sciences, Ahvaz, Iran


  • Research Article   
    An Artificial Neural Network Model to Diagnosis of Type II Diabetes
    Author(s): Sareh Mortajez and Amir Jamshidinezhad*

    Introduction: Diabetes is a disease caused by an increase in blood glucose levels due to insulin secretion deficiency (type 1 diabetes) or impaired insulin activity (type 2 diabetes). More than 90% of people with this condition are diagnosed with type 2 diabetes. Due to sharply prevalence of type 2 diabetes in recent years, the prognosis and early diagnosis of the disease have become even more important. In this study, a model for diagnosis of type 2 diabetes was developed using Artificial Neural Network (ANN) method. Objectives: Minimizing the diagnosis faults of diabetes disease, using a hybrid ANN and the Genetic optimization algorithm. Method: In this study, a hybrid ANN-Genetic Algorithm model was developed for classification of diabetic patients. Therefore, the number of optimal neurons as well as hidden layers was determined to design.. Read More»

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