In this project, we are dealing with a system that mathematically models the total population size of the number of diabetics around the world. We use this differential model to predict the changing number of diabetics around the world. We can control this model by using a control system, that moderates the number of new cases of diabetes with respect to the total number of diabetics with and without complications. Another factor is introduced to the system which is the number of diabetics with health complications. The useful applications of a diabetic predicting system are analyzing the total diabetic size in certain famished regions. We can also use this system to provide information for scientists to provide scientific information that can potentially lead to insulin development, and possibly a permanent cure. Research regarding the risk factors that come along with diabetes can be further enhanced and studied with information gathered from this system. The need for control is to provide a basic response to the required control of the differential model. Matlab Code included in the pdf report
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Developed and designed a Simulink Control System that mathematically models the total population size of the number of diabetics around the world
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andydevarakonda/Diabetic-Popuplation-Modeling
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Developed and designed a Simulink Control System that mathematically models the total population size of the number of diabetics around the world
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