• Journal of Digital Convergence
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• v.10 no.10
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• pp.363-372
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• 2012

The purpose of this study was to investigate drinking habits of employees and to provide basic descriptive data for effective drinking prevention programs, therapies and rehabilitation services for the health improvement of employees. Data were collected from 500 employees living in Gangwondo, from June 12 to August 25, 2010. The collected data were analyzed by the SPSS 10.1 program. The mean score of positive views on alcohol was 2.93 and the mean score of negative views on alcohol was 3.18. Among alcohol abuse people who answered 'yes' on more than 2 variables out of 4 CAGE variables were 25.1% of the subjects. Problem drinkers with more than 8 points from AUDIT accounted for 64.8% of the subjects. The most common disease due to alcohol drinking was gastrointestinal tract disease. The result of this study suggests that it is necessary to maintain the atmosphere to improve drinking culture and to develop for drinking preventive educations and implementations for employees in farming and fishing communities.

• 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.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.11
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• pp.337-346
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• 2023

There is a need to develop an app for a caregiver health management that can provide continuous management in response to changes over time, because elderly people have low digital utilization capabilities, difficulty maintaining regular and continuous self-management. Based on this need, this study designed an app with a user-friendly UI and simple structure for the elderly. The app developed in this study supports regular management of health data such as blood pressure, blood sugar, and heart rate, as well as specific information on physical, disease, cognitive, communication, and environment in the care field. The app developed in this study supports care services by automatically entering data through integration with health management devices, automatically analyzing and visually representing recorded data to understand trends and volatility, and adding scalability to connect with various health management and medical support platforms. The effectiveness and satisfaction of the developed app were confirmed to be significant in the field verification results.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.319-324
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• 2013

The purpose of the study was to evaluation of the knee lateral collateral ligament (LCL) stability of normal males and females in twenties by using digital telometer. The volunteer subjects agreed the research goal and were 31 normal adults(16 male: $21.1{\pm}1.5$ years, 15 female: $21.2{\pm}1.2$ years) who have not got any illness regarding their knee. X-ray images were taken varus stress on medial femorotibial joint space using by digital telometer, and grade of pain was surveyed. We measured the joint space width (JSW) in the digital radiology. As a result, the JSW of male group were $5.60{\pm}0.76$ mm and JSW of female group were $5.05{\pm}0.55$ mm (p=0.022) on the neutral state of the knee. Based on the result of varus stress on the knee, female group showed much widen than male group but it was not significant difference (p>0.05). When increased varus stress on the knee, all groups were felt pain from 17 daN to 19 daN. The result could be valuable when the varus stress on the LCL by using the digital telometer.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.245-249
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• 2006

In the rapidly changing high-tech society, lots of people are exposed to various kinds of stress and disease with an effort to adopt to the society, in spite of the benefits and abundance created by various technologies. Therefore, the health of modem people is our main concern and essential subject. The researcher would like to suggest systematical and intelligent medical diagnosis expert system that can give the effect same as the help from real experts with health check helper and scientific and objective knowledge that fit to the age and environment of changing.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.587-593
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• 2018

The syndromic surveillance system is designed to identify illness clusters before diagnoses are confirmed and reported to public health agencies, to provide rapid public health response, and thereby to reduce morbidity and mortality. Korea Centers for Disease Control and Prevention (KCDC) has implemented the emergency department-based syndromic surveillance system. To design upgraded and enhanced functions of the current syndromic surveillance system in KCDC for the early warning of adverse disease events, we surveyed many papers. This paper describes the operation status of syndromic surveillance system in other countries and the improvement of the syndromic surveillance system in KCDC.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.153-158
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• 2015

Biologists are pursuing genetics related researches that can provide the core information to understand a certain cancer or inherent diseases. However, biological experimentations can produce different results by the difference of various elements or environments at the time of experimentation and/or difference of interpretations. Therefore, currently existing research results can possibly provide different information. These inconsistency can be found through integration of gene information. Biologists can save their time and efforts to find certain gene information if the gene information is integrated without inconsistency. An efficient gene integration and augmentation scheme of gene information generated through different researches is introduced in this paper.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.615-623
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• 2021

The purpose of this study was to identify the factors influencing resilience of patients with systemic lupus erythematosus. The subject(N=118) was a systemic lupus erythematosus patient who visited the E hospital in D city. The collected data were analyzed by descriptive statistics, t-tset, ANOVA, pearson correlation, and multiple regression. As a result of the study, impact domain of uncertainty, fatigue, self-management domain of uncertainty, trust in doctors domain of uncertainty significant effects on resilience. Based on this study, in order to improve the resilience of patients with systemic lupus erythematosus, a multifaceted approach is needed to reduce the uncertainty perceived by the patient and control fatigue. In addition, it is required to develop an effective nursing intervention program to enhance resilience reflecting influencing factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.511-513
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• 2022

Digital Health Care is the convergence of ICT and (non)medical technology, emphasizing the importance of prevent and monitoring health management in terms of new challenging medical paradigm: predictive, preventive, personalized and participatory. Beyond the limited medical industry of long-term care insurance, it is emerging that AI, IoT, Big Data related new services with new technologies in the 4^th revolution era. It is also noted that business field based on test bed is emergent; Caring Robot, wearable devices need to be launched in the market. Diverse service is possible with Big Data and AI etc.

• Annual Conference of KIPS
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• 2008.05a
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• pp.123-126
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• 2008

한의학의 대중화 및 선호도 향상을 위해 가장 시급하고 중요한 일이 임상의들의 직관을 정량화 및 객관화 하는 일이다. 특히 병색을 살피는 망진(望診)의 경우 임상 현장뿐 아니라 u-헬스에 기반이 될 수 있는 진단법인 관계로 더욱 망진에 대한 정량화 작업이 시급하며 중요한 부분을 차지하고 있다. 이와 같이 망진의 공학적 융합을 통한 시스템화를 위해서는 디지털 기기의 특성상 일어날 수 있는 색 정보의 손실을 최소화 하여야 하며 색 분석을 위한 기준을 만들어 주어야 한다. 이를 위해 본 논문에서는 한의학의 찰색을 시스템 하기 위한 실험 환경 및 조건 등에 대한 기준을 제안하고, 또한 질병에 따른 특정 부위의 색상을 살피기 위해 가장 효율적인 디지털 색 체계가 무엇인지를 다양한 실험을 통해 분석한 자료를 제시하고자 한다.