Insulin dosage prediction system for diabetic patients

Abstract


 
 
 Diabetes is a common chronic disease and poses a great threat to human health. Diabetes can lead to chronic damage and dysfunction of various tissues, especially eyes, kidneys, heart, blood vessels and nerves. To control the BGLs of diabetic patients the traditional prevention techniques such as eating healthy food and conducting physical exercise plays a major role and also taking the proper amount of insulin dosage has the crucial rule in the treatment process. The rapid development of machine learning has been applied to many aspects of medical health. We have proposed a model based on artificial neural network (ANN) to predict the proper amount of insulin needed for the diabetic patient. The proposed model was trained and tested using several patient’s data containing many factors such as weight, fast blood sugar and gender.