Management and Treatment of Diabetes Artificial Neural Networks Controllers

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Delrobaee, Ahmad | 2010

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Type of Document: M.Sc. Thesis
Language: English
Document No: 40691 (52)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Seifipour, Navid
Abstract:
Diabetes is a global problem as a silent epidemic disorder. Diabetes Mellitus has involved at least five percent of our population. It will cause so many complications and end-organs effects if it is not controlled. Today, treatment and control of diseases using computational intelligent systems has been paid a lot of attention to. That’s why this study has taken treatment and control of diabetes into consideration. So, the neural networks have been used to manage and treat diabetes. To do this, real data from diabetic patients has been gathered and based on the data, a model has been obtained to show the effect of insulin on the amount of blood glucose. Then, a neural network controller has been designed and implemented to control blood glucose using two types of insulin (Regular and NPH). Using real data gathered from patients and the output of the model, the gluco-insulin regulation has been simulated. Then, using the output of the controller which indicated the necessary amount of insulin for each patient, the patient’s blood glucose has been controlled.
Keywords:
Neural Network ; Control ; Modeling ; Diabetes ; Blood Glucose ; Insulin