A monitoring and advisory system for diabetes patient management using a rule-based method and KNN.
Diabetes is difficult to control and it is important to manage the diabetic's blood sugar level and prevent the associated complications by appropriate diabetic treatment. This paper proposes a system that can provide appropriate management for diabetes patients, according to their blood sugar level. The system is designed to send the information about the blood sugar levels, blood pressure, food consumption, exercise, etc., of diabetes patients, and manage the treatment by recommending and monitoring food consumption, physical activity, insulin dosage, etc., so that the patient can better manage their condition. The system is based on rules and the K Nearest Neighbor (KNN) classifier algorithm, to obtain the optimum treatment recommendation. Also, a monitoring system for diabetes patients is implemented using Web Services and Personal Digital Assistant (PDA) programming.
Center for Advanced Image and Information Technology, School of Electronics & Information Engineering, ChonBuk National University, 664-14, 1Ga, DeokJin-Dong, JeonJu, ChonBuk, 561-756, Korea. mrlee@chonbuk.ac.kr
Malrey
M
Lee
Thomas M
TM
Gatton
Keun-Kwang
KK
Lee
D000465:Algorithms; D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring; D034201:Computers, Handheld; D003920:Diabetes Mellitus / Q000628:therapy*; D019468:Disease Management; D006801:Humans; D007328:Insulin / Q000008:administration & dosage; D009043:Motor Activity
D001786:Blood Glucose; D007328:Insulin