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. 2010;10(4):3934-53.
doi: 10.3390/s100403934. Epub 2010 Apr 19.

A monitoring and advisory system for diabetes patient management using a rule-based method and KNN

Malrey Lee  1 , Thomas M Gatton, Keun-Kwang Lee
Affiliations

A monitoring and advisory system for diabetes patient management using a rule-based method and KNN

Malrey Lee et al. Sensors (Basel). 2010.

Abstract

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.

Keywords: KNN classifier algorithm; diabetes; monitoring system; ubiquitous healthcare.

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Figures

Figure 1.
Figure 1.
Diagram of the blood sugar monitoring agent system.
Figure 2.
Figure 2.
The type of treatment method.
Figure 3.
Figure 3.
The results of the rule-based method.
Figure 4.
Figure 4.
The results of the rule-based method.
Figure 5.
Figure 5.
The result of KNN normalized.
Figure 5.
Figure 5.
The result of KNN normalized.
Figure 6.
Figure 6.
Results using the KNN classifier with the normalized data.
Figure 7.
Figure 7.
Comparison.
Figure 8.
Figure 8.
Input values for Daily Calories.
Figure 9.
Figure 9.
Threes Types of Information.
Figure 10.
Figure 10.
Result for Normal.
Figure 11.
Figure 11.
Result of After Exercise.
Figure 12.
Figure 12.
Result of After Meal.
Figure 13.
Figure 13.
Result of Treatment.
See this image and copyright information in PMC

References

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