• International journal of advanced smart convergence
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• v.7 no.4
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• pp.161-168
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• 2018

Recently, the bio-sensing information systems for collecting and analysing human body information of a patient in real time in the field of medical information and healthcare information service are continuously increasing. Specially, various wearable devices such as a wrist, a garment, and a skin attachment type for supporting health information of a mobile user are rapidly increasing. Until now, there is no patch-type biometric information service model. Therefore, this paper presents a biometric information system model and the application examples to support biometric information sensing and health information service of mobile user with digital patch system as a new biometric information system. As a result, through this research, research issues based on digital patch system are searched to suggest the direction of continuous research.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.325-333
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• 2020

The purpose of this study was to identify the mediating effect of self-efficiency on the relationship between grit, health perception and health promotion behaviors of nurses and to provide baseline data to improve health promotion. A structured questionnaire survey was carried on 242 nurses at an university hospital in D-city. The strong and positive effects of grit, self-efficiency and health perception on health promotion behaviors were found. Self-effica -cy had a perfect mediating effection the effects of grit on health promotion behavior and a partial mediating effect on the effects of health perception on health promotion behavior. The study results suggest the need for various intervention programs based on multiple factors associated with grit, health perception and self-efficiency in order to enhance health promotion behaviors of nurses.

• Journal of dental hygiene science
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• v.15 no.4
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• pp.393-398
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• 2015

One of the most critical causes in determining the clinical outcomes of dental prostheses is the validity of models. However, studies that evaluated validity of digital models are few. The objectives of this study were to evaluate validity of edentulous digital models for full denture fabrication. Twenty stone models (edentulous model) were manufactured and scanned by dental blue light emitting diode scanner. Twenty digital models were manufactured. Six linear distances (inter-canine distance, inter-molar distance, two dental arch lengths (right, left), two diagonal of dental arch lengths (right, left) were measured for validity evaluation. The measurements of distances of stone models were used by digital vernier caliper and digital models were used by computer program. The mean${\pm}$deviations values of six distances were calculated. The means were compared by the Mann Whitney U test (${\alpha}=0.05$). All statistical analysis were performed using IBM SPSS Statistics ver. 20.0. Although digital models were smaller than stone models in six distances, there were no significant differences (p>0.05) and non exceeded the clinical acceptable range. The edentulous digital models for full denture fabrication can be considered clinically acceptable.

• Journal of Biomedical Engineering Research
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• v.44 no.5
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• pp.354-361
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• 2023

Most of spinal diseases are diagnosed based on the subjective judgment of a specialist, so numerous studies have been conducted to find objectivity by automating the diagnosis process using deep learning. In this paper, we propose a method that combines segmentation and feature extraction, which are frequently used techniques for diagnosing spinal diseases. Four models, U-Net, U-Net++, DeepLabv3+, and M-Net were trained and compared using 1000 X-ray images, and key-points were derived using Douglas-Peucker algorithms. For evaluation, Dice Similarity Coefficient(DSC), Intersection over Union(IoU), precision, recall, and area under precision-recall curve evaluation metrics were used and U-Net++ showed the best performance in all metrics with an average DSC of 0.9724. For the average Euclidean distance between estimated key-points and ground truth, U-Net was the best, followed by U-Net++. However the difference in average distance was about 0.1 pixels, which is not significant. The results suggest that it is possible to extract key-points based on segmentation and that it can be used to accurately diagnose various spinal diseases, including spondylolisthesis, with consistent criteria.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.93-98
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• 2012

This study was to analyze the influences of various factors on the u-health service. Data was surveyed from experienced of u-Health service sectors. We measured legal support, IT-infra, user education, the user education, and the u-Health solution, are the critical success factors for the u-Health service. Also we evaluated u-Health services by survey data from the users. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to measure the weights among these factors. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The results of this paper could be the valuable references for the policy making process of the u-Health system in Korea.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.283-295
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• 2017

The purpose of this study was to identify the effect of psychological health and physical health on health-related quality of life(HRQoL) in Korean Echo Generation by using Korea Health Panel Data 2013. The Korea Health Panel Data 2013 were collected from February to October 2013 and 2,261 respondents were analyzed. The data were analyzed by Independent t-test, ANOVA and multiple regression using SPSS WIN 24.0 program. he mean score of HRQoL was 0.98. The effect of unmet medical needs, psychological & physical stress, unmet basic needs, anxiety about the future, depression, suicidal ideation, smoking, sleeping time, hearing problem, eating problem, restriction of activity, and self-rated health status) were significant on HRQoL. Health care providers should consider the effect of psychological and physical health when they design program for the improvement of HRQoL for Korean echo generation in community.

• Journal of Preventive Medicine and Public Health
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• v.41 no.4
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• pp.241-248
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• 2008

Objectives: The purpose of the study was to identify a gap between consumer characteristics and utilization of health information on the Internet. Methods: A telephone survey of nationally representative samples was conducted using structured questionnaires, and 1,000 of the 1,189 responses obtained were included in our analysis. The following variables were included in the analysis as potential predictors of health information use on the Internet: predisposing factors such as gender, age, and education status; enabling factors such as region and monthly household income; consumer need for health information; and attitude to health. Multiple logistic regression analysis was used to evaluate the association between utilization rate and the potential predictors. Results: Thirty-nine percent of consumers had obtained health information on the Internet over a one-year period. The utilization rates were higher for consumers who were young, educated, worked in the office setting, had higher incomes, wanted health information, and were able to use the Internet. The utilization rate was 5.35 times higher in the younger group (20-30 years) than in the elderly group (95% CI=2.21-12.97); 2.21 times higher for office workers than for manual workers (95% CI=1.16-4.20); 3.61 times higher for college graduates than for middle school graduates and below (95% CI=1.07-11.59); 1.99 times higher for people with monthly household incomes over 3,000,000 won than for those with monthly household incomes below 1,500,000 won (95% CI=1.01-3.92). Conclusions: There needs to be a paradigm shift, with consideration of not only Internet accessibility in the digital age, but also consumer ability and attitudes toward utilization of health information.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.359-368
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• 2016

This study was to examine the factors that affect the oral health knowledge of elementary school students. This study surveyed a comparative study of the students and guardians' oral health knowledge among the elementary schools operating or not operating school dental clinic program in Jeollanamdo. The subjects were 178 elementary school students and guardian, structured questionnaires were performed during the period from May 2 to May 26, 2014. As a result, non-operated school dental clinic program had a negative effect on Oral health knowledge of students, but it was not significant. The factors associated with student's oral health knowledge turned out to be oral heath education experience of guardian, oral health education participation of student, self-reported oral health of student. In conclusion, student's oral health knowledge was influenced by student's and guardian's oral health-related behaviors, oral health status of student.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.403-411
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• 2020

The purpose of the study is to investigate the impact of social support and mental health of health science college students on their resilience. 191 students enrolled in 3 health science colleges located in J Province were asked to answer structured questionaries, and the collected data was analyzed by T-test, ANOVA, Pearson correlation, and regression analysis with SPSS 24.0 software. The result of this study shows that social support has positive correlation to resilience, whereas mental health has statistically significant negative correlation to psychological resilience. Subfactor of social support that affect psychological resilience are material and repetitional support, and subfactor of mental health are anxiety and college life satisfaction, which is also a sociologic characteristic, with explanatory power of 48.9%. The study suggests the need to develop and apply measures to improve social support and mental health of health science college students to embolden their resilience.