neural diabetis - Diagnosing Diabetes using Artificial Neural Networks Dr K Ganesan Director TIFAC-CORE in Automotive Infotronics Senior Professor in

neural diabetis - Diagnosing Diabetes using Artificial...

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Diagnosing Diabetes using Artificial Neural Networks Dr. K. Ganesan Director, TIFAC-CORE in Automotive Infotronics & Senior Professor in School of Information Technology & Engg. VIT University, Vellore – 632 014 [email protected]
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Introduction Diabetes mellitus is the forth biggest cause of death world wide, particularly in developed and developing countries. It can cause blindness and visual impairment and many times lead to cardiovascular disease. In the case of diabetes the body does not produce insulin harmone properly. But insulin is needed by our body to convert sugar, starch and food into simple molecules which can easily enter into our body cells and provide sufficient energy for doing our daily work. Due to lack of insulin, conversion of bigger molecules of food into simpler ones is prohibited. As a result, the bigger molecules tend to accumulate in blood and hence the blood sugar level increases and a person gets diabetes disease.
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Types of Diabetes There are 2 types of diabetes: type1 and type 2. Type 1 diabetes is diagnosed in children and young adults and is also known as juvenile diabetes. In type 1, the islet cells of the pancreas that produces insulin is seen as “enemy” by mistake.
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  • Winter '16
  • ganeshan
  • Diabetes, Blood sugar, Sugar test result, Blood Sugar test, linear activation function

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