• Digital Contents Society Review
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• v.2 no.1
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• pp.10-18
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• 2006

• Healthcare Informatics Research
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• v.24 no.4
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• pp.253-262
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• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.571-581
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• 2016

The purpose of this study was to examine the relationships among the physical competence, subjective health status, and health promoting behavior of elderly participating in health activity program. For these purposes, we conducted a survey with 207 elderly. The findings were as follows. First, high physical strength group compared to the other groups had high subjective health status and health promoting behavior. Second, physical competence influenced positively on subjective health status. Third, physical competence influenced not significantly on health promoting behavior. Fourth, subjective health status influenced positively on health promoting behavior. These results were discussed based on previous literature and theory.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.81-92
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• 2021

The purpose of this study is to present an approach to the "Digital Health Passport" (DHP), which will be the most important in the change of the travel industry among the sudden environmental changes brought about by COVID-19. To this end, this study reviewed a variety of empirical literature on DHP, and proposed a framework for DHP based on literature review. The framework is composed of travel intention, health information provision intention, and new technology acceptance/adoption of tourists. First, in terms of travel intention, providing information to DHP should not undermine the travel intention of the travelers. It should be possible to facilitate the travelers' enjoyment by using the information provided by the traveler. In addition, there is a need to assure that the data provided by travelers is managed in a reliable way. Second, it is necessary to understand why the travelers want to provide additional personal information (information disclosure), rather than seeing healthcare information only in terms of mandatory information provision. Finally, from the perspective of new technology, it is necessary to understand the intention of travelers to use/adopt DHP. The key implication of this work is that it proposed a DHP framework for realizing the travel bubble to predict and respond to foreign travelers' behaviors.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.293-294
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• 1998

In this paper, the electric properties of amorphous selenium specimen has been investigated. Amorphous selenium was thermally evaporated on the glass plate which had been deposited onto the interface by aluminium as an electrode. On the surface of the amorphous selenium, the aluminium electrode was deposited again in order to make an unit cell for dark current measurement. The dark current was measured while applying the bias voltage across the selenium layer in the range of 0V-2500 Volts. The leakage property of the amorphous selenium was significantly low at even high voltage range so it has good advantage as a X-ray receptor for digital radiography. For further study, the C-V curves measurement according to thicker amorphous selenium layer.

• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.81-90
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• 2012

For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.

• Nutrition Research and Practice
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• v.1 no.1
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• pp.42-45
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• 2007

Rapid integration of information technology into health care systems has included the use of highly portable systems-in particular, personal digital assistants (PDAs). With their large built-in memories, fast processors, wireless connectivity, multimedia capacity, and large library of applications, PDAs have been widely adopted by physicians and nurses for patient tracking, disease management, medical references and drug information, enhancing quality of health care. Many health-related PDA applications are available to both dietetics professionals and clients. Dietetics professionals can effectively use PDAs for client tracking and support, accessing to hospital database or information, and providing better self-monitoring tools to clients. Internship programs for dietetics professionals should include training in the use of PDAs and their dietetics applications, so that new practitioners can stay abreast of this rapidly evolving technology. Several considerations to keep in mind in selecting a PDA and its applications are discussed.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.67-82
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• 2019

Objectives: This study aimed to evaluate digital interventions on psychological well-being in patients with cancer through an integrated review. Methods: Fifteen studies were selected using PubMed, CINAHL, Scopus, DBpia, and RISS. The Scottish Intercollegiate Guidelines Network was used by two reviewers to evaluate independently the quality of the selected articles. Results: Digital interventions for improving psychological well-being in cancer patients were most often based on cognitive behavioral therapy alone or a combination of interventions with professionals and other patients. In addition, a number of interventions were established on internet-based mindfulness therapy. Conclusions: Providing cognitive behavioral intervention alone did not significantly improve the level of depression or anxiety of patients with cancer. Meanwhile, interventions, including cognitive behavior therapy and interactions with professionals and other patients, were found to reduce significantly the level of depression or anxiety in the experimental group.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1755-1758
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• 2022

One of the most negative social changes of the last decade is population aging which leads to 19 times more patients with Mild Cognitive Disorder(MCI). It is well established that MCI is the most important state that can prevent dementia with early diagnosis and intervention. However, the social security system for patients with dementia is not working properly due to the coronavirus pandemic and the limited human power. This article proposes a form of workbench and design principles for dementia training programs of extended reality devices. and the findings in this study provide a guide for considering the cognitive and physical and social functions of patients.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.215-230
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• 2016

This study aims to investigate how health belief of adult female users of the health training center affect health-promoting behavior through self-efficacy and exercise satisfaction. The proposed model is based on health belief model of Rosenstock et al. To validate the proposed model, PLS analysis is performed with the valid 177 questionnaires collected from Seoul and nearby cities. The results are as follows. First, perceived severity has a positive effect on self-efficacy, not on exercise satisfaction. Second, perceived susceptibility does not has a positive effect on both self-efficacy and exercise satisfaction. Third, perceived barriers has a positive effect on self-efficacy, not on exercise satisfaction. Fourth, perceived susceptibility has a positive effect on both self-efficacy and exercise satisfaction. Fifth, self-efficacy has a positive effect on exercise satisfaction and health-promoting behavior. Sixth, exercise satisfaction has a positive effect on health promoting behavior.