Association Redetection of Regular Insulin and NPH Insulin using Statistical Features

Diabetes Mellitus (DM), commonly referred as diabetes is a disorder that most of the people suffer from and which also leads to death many of the times. Type 1, Type 2 and Gestational diabetes are the types of diabetes. The present study is of patients suffering from Type 1 DM. In Type 1 diabetes a patient has to take external insulin to maintain the blood glucose level (BGL). Insulin is a hormone produced in the pancreas which maintains the BGL of a person. BGL is responsible for a person's daily activity. Within a specified target range the blood glucose level has to be maintained. Thus the blood glucose monitoring helps one to link between blood glucose, food, exercise and insulin. The readings of the blood glucose level determine the best management strategy for diabetes. The complications occurring in diabetes reduces by maintaining good blood glucose control. Four to five types of insulin are available in which our focus is on Regular insulin and NPH insulin. Regular insulin is a short acting insulin and NPH insulin is an intermediate acting insulin. The association detection of first fifteen patients by doing statistical study has already been done in which no association was found. This study has been done on the next fifteen patients dataset, to verify same result are obtained or result differs from it.