• Korean Journal of Artificial Intelligence
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• v.3 no.1
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• pp.4-6
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• 2015

These days, citizens have made change of food life to take Western style food and to suffer from diabetes because of excessive nutrition taking, less exercise, stress and other environmental factors. They may suffer from diabetes because of genetic defect, surgery of pancreas, disinfection and medicine and others. One of ten Koreans may have symptom of diabetes to be popular. The diabetes that is a kind of metabolic disease has high blood sugar at disorder of hyper insulinism and/or defect of insulin action. Long time high blood sugar may produce chronic disease of kidney, eyes, nerve, heart and blood vessel and others. The purpose of health care of diabetes patient was to reach target blood sugar by diet, physical exercise and medicine and to prevent and delay complication. Diabetes patient shall control blood sugar to keep healthy. The blood sugar control requires time and effort, and all of the patients are difficult to make effort and to spend time. You can control blood sugar by the application. The application allows patients to control blood sugar and to save time and efforts and to make small sized input and automation of remaining area. The service was limited to blood sugar graph, and user carries smart phone to conduct test and to have difficulty. Further study needs to solve the problems and to investigate blood sugar testing not carrying smart phone and to make application of easy control of blood sugar.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.201-203
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• 2022

Over the past five years, the number of patients treated for diabetes has increased by 27.7% to 3.22 million, and since blood sugar is still checked through finger blood collection, continuous blood glucose measurement and blood sugar peak confirmation are difficult and painful. To solve this problem, based on blood sugar data measured for 14 days, three months of blood sugar prediction data are provided to diabetics using artificial intelligence technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.10
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• pp.2079-2086
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• 2011

Recently, technology of self diagnosis system which one of health-care has been research very active. With this, In this paper, we have to implement the self-blood sugar measurement system that is interlock with PC, RFID, and Bio-Signal glucose tester and accessible user interface. Therefore the equipments can performs accessible interface composition for communication between devices and PC, analysis and test of communication status of the RFID tag and reader that it easy to obtain the data of self-diagnosis linkage with PC, RFID, and Bio-Signal glucose tester. In other words, as result of communication protocol experiment with self-blood sugar measurement data, it has been showed to display a high-reliability result through year, month, and day, body temperature, and levels and check point of blood glucose.

• Health Policy and Management
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• v.20 no.3
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• pp.157-172
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• 2010

This study was conducted to evaluate the effects of health-behavioral change for the elderly group after community based education of chronic diseases management. We measured self recognition of health status, medication administration of hypertension and diabetes, regular check for blood pressure and blood sugar level, recognition of body indicators (weight, hight, blood pressure, blood sugar etc), knowledge level for chronic diseases management and smoking and alcohol habitation before and after education of chronic diseases management for participants. The subjects of this study consist of 432 people with community-dwelling Seoul citizen being active churches. Education programs designed essential parts of fundamental chronic diseases management, physical exercises for health promotion, diet and nutrition etc. All data collection completed for 5 months from Aug. 2008 to Dec. 2008 by trained surveyors via interview survey. The data obtained were analyzed using descriptive statistics, Wilcoxon Singed Rank test, McNemar test and Paired t-test. The results showed that self recognition of health status, knowledge level for chronic diseases management, recognition of body indicators were statistically significantly increased after the education of chronic diseases management. Also, blood pressure were statistically significantly decreased in elderly with hypertension and blood sugar were statistically significantly decreased in elderly of high-risk group. Based on these results, it was suggested that preventive education policy of chronic diseases management should be considered with priority coming true for successful aging society.

• Journal of Digital Convergence
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• v.21 no.3
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• pp.33-39
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• 2023

This study is a performance evaluation of a blood sugar monitoring system that combines a PPG sensor, which is an evaluation device for blood glucose monitoring, and a DNN algorithm when monitoring capillary blood glucose. The study is a researcher-led clinical trial conducted on participants from September 2023 to November 2023. PPG-BGMS compared predicted blood sugar levels for evaluation using 1-minute heart rate and heart rate variability information and the DNN prediction algorithm with capillary blood glucose levels measured with a blood glucose meter of the standard personal blood sugar management system. Of the 100 participants, 50 had type 2 diabetes (T2DM), and the average age was 67 years (range, 28 to 89 years). It was found that 100% of the predicted blood sugar level of PPG-BGMS was distributed in the A+B area of the Clarke error grid and Parker(Consensus) error grid. The MARD value of PPG-BGMS predicted blood glucose is 5.3 ± 4.0%. Consequentially, the non-blood-based PPG-BGMS was found to be non-inferior to the instantaneous blood sugar level of the clinical standard blood-based personal blood glucose measurement system.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.42-54
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• 2021

The purpose of this study is to analyze that ICT-based primary health care affects clinical changes of participants in the primary care chronic disease management pilot project using ICT medical care. Customized health information data, provided by National Health Insurance Service, was used for the analysis. The study targeted a total of 676 people that participated in primary care chronic disease management pilot project using ICT medical care from 2017 to 2018. Hierarchical regression was used to test three model. First, there were many subjects who used face-to-face consultation and non-face-to-face consultation(messaging), but less than half of patients using non-face-to-face consultation(telephone). Second, after participating in the pilot project, the fasting blood sugar level decreased. Third, the clinical condition of the subjects appeared to be an important factor in controlling blood sugar levels. Finally, patients using the non-face-to-face consultation(messaging) had reduced blood sugar levels after participating in the project. This results imply that non-face-to-face consultation is effective in reducing fasting blood sugar level with hospital intervention, and there are effects of the primary care chronic disease management project using ICT.

• Journal of the Korean Dietetic Association
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• v.12 no.2
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• pp.118-126
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• 2006

The purpose of this study was to estimate sugar intake and relation between it and blood lipid profiles in Korean adult according to age. The 346 subjects were measured anthropometric assessment, dietary intake using 24-hour recall method, and serum lipid profiles. The average age of the subjects of 20-49, 50-64, over 65 years were 40.8, 57.0, 70.2 years, respectively. The mean height and weight were significantly decreased with increment of age(p<0.001, p<0.01). The mean energy, food, and sugar intakes of the age groups were decreased with increment of age(p<0.05, p<0.001, p<0.001), that is, 1649.8 ㎉/1253.6 g/36.1 g for 20~49 years, 1555.4 ㎉/1157.0 g/31.4 g for 50~64 years, 1404.4 ㎉/893.5 g/17.1 g for over 65 years. The major foods consumed sugar of the age groups were watermelon, sugar, ice cream for 20-49 years, watermelon, sugar, peach for 50-64 years, watermelon, sugar, kimchi for over 65 years. Carbohydrate intake of the subject adjusted age provided significantly negative correlation with serum HDL-cholesterol(p<0.05). However, there was not significant correlation between sugar intake and serum lipid profile. Based on these results, further studies on effects on blood lipid of sugar and carbohydrate intakes were needed for proper carbohydrate intake.

• Journal of agricultural medicine and community health
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• v.33 no.3
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• pp.316-323
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• 2008

= ABSTRACT = Objectives : Incheon metropolitan city has set a model program of community partnership for hypertensive or diabetic patients detection and follow-up since 2005. This study examines the effects of the model on the compliance and the control of blood pressure or blood sugar level Methods : Telephone-surveys were done for 140 persons selected from 408 patients who were detected newly as hypertensive or diabetic patients at Gangwha-Gun and Seo-Gu in Incheon between January 1st and August 31th in 2006, and finally completed in 110 patients(78.6%). Survey questionnaires included socio-demographic(age, gender, and educational level), health behavioral (smoking, drinking, physical activity, and diet), and therapy-related (registration state, compliance, blood pressure or blood sugar control) variables. Odds ratio and 95% CI were derived from logistic regression model. Results : Registered group exhibited high compliance and well managed blood pressure or blood sugar level. The odds ratio of registration were 5.55(95% CI:1.83~16.89) for compliance and 3.78(95% CI:1.43~9.99) for blood pressure or blood sugar control after adjusting for age, gender, disease, and area Conclusions : It is independently related to compliance and blood pressure or blood sugar control whether the patient is registered or not. To control hypertension or diabetes mellitus in terms of compliance and control state, a community-based registration program through community partnership could be a powerful tool.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1353-1362
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• 2023

Various methods are being attempted to resolve the inconvenience of blood glucose meters used to check blood sugar levels. In this paper, we attempted to estimate blood sugar levels non-invasively using machine learning technology from spectral data acquired using a near-infrared sensor. The non-invasive blood glucose meter used in the study has a total of six near-infrared ray emitters, including visible rays, and a light receiver that receives them. It is a device created to collect spectral data on specific parts of the human body, such as the fingers. To verify whether there was a significant difference depending on blood sugar level, we attempted to estimate blood sugar level through machine learning algorithms. As a result of applying five machine learning algorithm techniques to the collected data and adjusting various hyper parameters, it was confirmed that the support vector regression algorithm showed the best performance.

• Research in Community and Public Health Nursing
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• v.14 no.4
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• pp.559-567
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• 2003

Background: We first launched the case management program for diabetic patients who were registered in NHIC (National Health Insurance Corporation) in Korea and conducted this study to assess the effectiveness of the program. Methods: During the period from October in 2002 to March in 2003, 30 case managers performed the program for 71 diabetic patients. We evaluated the effectiveness of the program based on the results of fasting blood sugar level, two hour post-prandial blood sugar level, knowledge for diabetes, difficulty index in diabetes management, and the health risk factor changes of them. We analyzed results related to these factors through $x^2$ test and paired t-test. Results: The ave rage age of the subjects was 58.9. and the numbers of women and men were 43 and 28 respectively. The fasting blood sugar level and two hour post-prandial blood sugar level decreased from 164.3mg/dl to 146.5mg/dl and from 224.0mg/dl to 203.0mg/dl respectively. The knowledge for diabetes and difficulty index in diabetes management changed from 8.13 to 9.10 and from 3.52 to 2.91 respectively, and these changes were the positive. We observed improvement in self-test of sugar level, foot management, oral hygiene and proper medication but not in self-test of nutritional management. Conclusions: This study revealed that the case management program for diabetic patients who were registered in NHIC is significantly effective. However, the program need to study further to understand its long-term effects.