Insulin Dose Suggestion and Monitoring System for Diabetes Mellitus Patients Using Rule-Based

This paper presents the discussion of the needs of diabetes patients for effective management of Diabetes Mellitus. Diabetes management requires precise monitoring of blood glucose levels and accurate insulin dose calculations. However, it is challenging for diabetic patients to record their blood glucose levels and track the amount of carbohydrates in the foods they choose before each meal. Based on survey, it shows that 70% has difficulty to record the data. Therefore, diabetes patients need to manage their insulin administration timely. It depends on several factors such as carbohydrate intake, current blood glucose levels and individual preferences. To address this issue, this project will focus on developing a expert system using rule-based forward chaining technique that make use of Insulin-for-carb table to help diabetes patients in calculating the appropriate insulin dose for each meal. The system will also determine the carbohydrate content and recommend the appropriate insulin dosage if users record the foods and beverages they consume. The system also monitors insulin dosages and blood sugar levels. These users’ feedback showed the similarity of healthcare professionals’ practice. As conclusions, this system is reliable to enhance diabetes management and help in reducing the risk of both hyperglycemia and hypoglycaemia.

Diabetes, Insulin, Expert System, Rule-Based, Forward Chaining

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