A novel approach in adjustment of total daily insulin dosage for type 2 diabetes patients using a fuzzy logic based system

Abstract

The aim of this study is to adjust the total daily insulin dosage for type 2 diabetes patients, who are already on an insulin treatment regimen, by using a fuzzy-based system. The dose is adjusted by taking into account three patient-related linguistic factors (PRFs) for 39 patients i.e. weight, body mass index (BMI), and average daily carbohydrate intake and utilizing this data to develop rules for a fuzzy-based system in MATLAB. The system was then made to generate an output which was compared to the prescribed doses of insulin by the patients’ respective physicians. The fuzzy based system was seen to bring a better regulation to the insulin treatment regimen for a particular patient as compared to the traditional non-fuzzy based methods which calculate total daily insulin dose based on each individual factor discretely. According to the output generated, the reasonable changes that this system suggested may evince better control on patient blood glucose levels. The usage of this system will allow fewer instances of hyperglycemic and hypoglycemic events among type 2 diabetes patients and may be further be translated  to type 1 diabetics.