• Journal of Digital Contents Society
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• v.10 no.2
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• pp.327-332
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• 2009

In this paper, we propose the diagnosis system that can predict pet's state of health for pet lovers lacking a technical knowledge of dog-diseases. The proposed system deduces diseases of dogs from input symptoms by our database constructed with 105 kinds of diseases and symptoms. First, a disease is clustered by ART2, the self-learning method in neural network and secondly, the result values, outputs and the weight values clustered by the algorithm are stored to database. Finally, our system diagnoses the state of health by means of comparing the learned information of diseases with the input vectors of each symptom and the related results of questions on diseases. The correct information of diseases and symptom diagnosing is important to predict the state of health of dogs. Therefore, in this paper, the proposed system can manage symptoms and diseases efficiently by database and ART2. We ask veterinary specialist with the efficiency of our system. As a result, we could confirm the possibility as the auxiliary diagnosis system for dog diseases.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.391-400
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• 2017

The purpose of this study was to investigate the effects of smart phone video educational program on disease-related knowledge and anxiety in patients with coronary artery disease. A quasi-experimental study used a non-equivalent control group pre-post test design. A smart phone video educational program was developed and offered to the experimental group. Participants were drawn from a inpatient ward. Twenty eight were selected for the experimental group while 30 were assigned to a control group. The results of this study were as followed: Disease-related knowledge in the experimental group showed a significant increase after smart phone video education compared with the control group. But the score of anxiety did not show a significant difference between experimental and control group. Thus, it is necessary to develop interventions considering both educational and psychological factors at the same time for the patients with coronary artery disease.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.533-540
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• 2018

The purpose of this study was to use the data from the Health Insurance Review and Assessment Service to analyze the disagreement in disease coding given by different medical institutions on the same disease of the same patient and provide basic data that could help improve the quality of national public health statistics. 9,976,826 patients' data records from the Health Insurance Review and Assessment Service-National Patient Sample (HIRA-NPS) of 2014 were analyzed. The disagreement in disease coding differed by movement paths for medical institutions; the disagreement rate tended to increase when moving from a medical institution other than public health centers to a public health center and decrease remarkably when moving from a specialized general hospital to another. Therefore, this analysis of disagreement in disease coding among medical institutions suggests the need to supplement the system so that domestic medical institutions can realize consistent disease coding.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.9
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• pp.1623-1632
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• 2008

In food choice, consumers consider importantly food safely and reliability focusing on a high qualify control. Also they are concerned about sustainable production and consumption considering of area and environment. In this paper, We propose and design the high-quality seafood production support system that is based on international sanitary standard haccp, traceability and eco-fiendly seafood certification for safety and reliability of the seafood production. The system is categorized into five part: aquafarm haccp, environmental control monitoring, traceability, disease prevention and messenger service and seafood price inquiry service. The proposed system utilize diverse ubiquitous-it technologies like usn, network cctv, mobile device etc.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.185-193
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• 2011

There is no exact standard of detecting pulmonary tuberculosis(TB) in digital image of simple chest radiography. In this study, I experimented on the principal components analysis(PCA) algorithm in the past and suggested six other parameters as identification of TB lesions. The purpose of this study was to develop and test computer aided diagnosis(detection) method for the detection and measurement of pulmonary abnormalities on digital chest radiography. It showed comparatively low recognition diagnosis rate using PCA method, however, six kinds of texture features parameters algorithm showed similar or higher diagnosis rates of pulmonary disease than that of the clinical radiologists. Proposed algorithms using computer-aided of texture analysis can distinguish between areas of abnormality in the chest digital images, differentiate lesions having pulmonary disease. The method could be useful tool for classifying and measuring chest lesions, it would play a major role in radiologist's diagnosis of disease so as to help in pre-reading diagnosis and prevention of pulmonary tuberculosis.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.227-233
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.2
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• pp.53-60
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• 2013

세계 경제가 고도성장에 따른 산업구조의 변화를 갖게 되었고, 의학기술의 발달로 건강한 고령자의 증가가 나타나는 사회 현상이 나타나게 되었다. 우리나라 역시 65세 이상의 건강한 고령인구의 증가 추세와 고령화 사회로의 진입이 현실화 되고 있다. 또 급속한 핵가족화 등으로 인하여 가족 내의 노인부양 기능이 약화되고 있으며, 건강한 노인 단독세대가 급증함에 따라 해당 관련 복지의 구체적인 정책 실천방향에 대한 요구와 신체적, 사회 심리적 특성에 따른 힐링 환경의 개발요구가 높아지고 있다. 이에 본 연구에서는 인류 건강증진 개념 및 고찰을 통해 힐링 환경의 공간특성을 도출하고, 이를 통하여 보다 질적으로 향상된 건강한 주거환경을 제시하고자 하는데 그 의미가 있다. 본 논문에 있어서의 공간에 의한 인류 건강증진은 1. 건강과 질병은 하나의 스펙트럼 상에 놓여 있으며, 한편은 최상의 건강 상태이며 다른 한편은 질병에 의한 사망이라는 개념에 의미를 둔다. 2. 병, 의학 전문가 관점에서 건강을 증진시키는 과정에 중심을 두고 있는 새로운 치료적 환경에 대한 혁신적인 패러다임을 주지하는 입장에서, 안녕(healing)을 양성하는 공간 특성을 도출 개념이다. 3. 환경변화에 적응하는 역동적 건강개념에 그 근거를 두고, "건강은 단순히 무 질병의 개념이 아니라 신체적, 정신적, 문화적 에다가 영적으로 완전한 안녕 상태"라는 개념을 적용한다. 4. 특히, 병, 의학 전문가 관점으로 인해 간과되었던 대상자의 공간으로부터 얻게 되는 심리적, 사회적, 정신적 요구들을 반영하는 안녕(healing) 개념의 힐링 철학의 개념을 갖는다.

• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.4
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• pp.203-210
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• 2020

By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.655-667
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• 2014

This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1381-1387
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• 2018

This study was conducted to find ways to improve people's perceptions to prevent and detect breast cancer. Health belief model(HBM) was used to examine the relationship between. risk perception of breast cancer, and benefit perception, and information seeking. In addition, the role of autonomous motives was included in the model. The results shows that the more people perceived cancer as dangerous, or perceived cancer screeing as beneficial, the more likely they seek relavant health information. Also, high autonomous motives showed positive effects on info seeking. Information seeking behaviors also had a positive impact on health screening intentions.