• Journal of Cardiovascular Imaging
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• 제31권1호
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• pp.1-17
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• 2023

The Coronary Artery Calcium Data and Reporting System (CAC-DRS) is a standardized reporting method for calcium scoring on computed tomography. CAC-DRS is applied on a per-patient basis and represents the total calcium score with the number of vessels involved. There are 4 risk categories ranging from CAC-DRS 0 to CAC-DRS 3. CAC-DRS also provides risk prediction and treatment recommendations for each category. The main strengths of CAC-DRS include a detailed and meaningful representation of CAC, improved communication between physicians, risk stratification, appropriate treatment recommendations, and uniform data collection, which provides a framework for education and research. The major limitations of CAC-DRS include a few missing components, an overly simple visual approach without any standard reference, and treatment recommendations lacking a basis in clinical trials. This consistent yet straightforward method has the potential to systemize CAC scoring in both gated and non-gated scans.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• 성인간호학회지
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• 제27권4호
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• pp.375-383
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• 2015

Purpose: The purpose of this study was to identify the relationship of resiliency and symptom experience and depression. Subjects (N=152) were patients with chronic obstructive pulmonary disease (COPD).admitted to D University Medical Center in B City. Methods: Data collection was conducted from July 20 to August 25, 2013. The levels of symptom, resilience, and depression were measured using a seven question symptom experience measuring instrument, a 25-question resilience instrument, and a 15-question Short Geriatric Depression Scale (SGDS). The collected data were analyzed by descriptive analysis, Pearson's correlation coefficients, and path analysis using SPSS/Win 19.0 and AMOS 5.0. Results: There was a significant negative correlation between symptom and resilience, a significant positive correlation between symptom and depression, and a significant negative correlation between resilience and depression. Symptom showed a direct effect on depression and an indirect effect on depression scores through resilience as a mediating variable. Conclusion: It is necessary to develop nursing intervention programs to relieve symptom in COPD patients, and to develop appropriate resilience enhancement programs to reduce their depression.

• 대한간호학회지
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• 제36권2호
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• pp.299-309
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• 2006

Purpose: The main purpose of this study was to develop a substantive theory on the process of the spiritual experience in Christian terminal cancer patients in the context of Korean society and culture. The question for the study was 'What is the spiritual process in Christian terminal cancer patients?'. Method: The research method used was the Grounded Theory Method developed by Strauss & Corbin(1998). Participants for this study in total were 9 Christian terminal cancer patients. Data was collected using in-depth interviews during April 2003 to March. 2004. Data collection and analysis were carried out at the same time. Result: From the analysis 58 concepts and 20 categories emerged. The categories were presented into a paradigm, which consisted of condition-actions/interactions-consequences. The theoretical scheme was described by organizing categories. In total, 4 stages were developed from the condition-actions/ interactions-consequences. Throughout these stages, the 'overcoming process of unbalanced interconnectedness' was the core category discovered. Conclusion: This study provides a framework for the development of individualized care interventions in the 'overcoming process of unbalanced interconnectedness' for Christian terminal cancer patients.

• Child Health Nursing Research
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• 제13권4호
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• pp.454-466
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• 2007

Purpose: To explore the experiences of parenting from the mothers of children with severe CHD and to develop a grounded theory about their experiences. Method: Grounded theory method guided the data collection and analysis. A purposeful sample of 16 mothers of children with severe CHD participated during the period 2003. The data were collected by semi-structured individual interviews. Results: "Raise with dignity" emerged as the core phenomenon. 'Powerlessness' came up as the central concept. The causal conditions working on powerlessness was 'living with a bomb in the heart': uncertainty and the context were 'confronting people's eyes', 'developing child's adaptability'. An intervening condition was 'forming a support system' and consequences for coping with powerlessness were 'overcome' or 'ambivalence' using the strategies for mother's positive personality, care role perception, accepting, acknowledgement, and managing the body and mind. Conclusions: In the results of this study, the mothers of children with severe CHD are continue to struggle with life during children's growth and repeated attacks of disease. They need to be provided with skills to cope with physical and mental problems in rearing the children with expertized information for the entire period of growth.

• 재활간호학회지
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• 제9권1호
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• pp.81-86
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• 2006

Purpose: The purpose of this study was to investigate the relationship between the level of pain and fatigue in rheumatoid arthritis patients. Method: The subjects for this study were 120 patients registered in S University Hospital, and the period of data collection was from June 20, 2005 to October 15, 2005. Results: The research instruments used in this study were the Graphic Rating Scale of Pain and Fatigue, and the cronbach's ${\alpha}$ of Fatigue scale was .90. In data analysis, SPSSWIN 12.0 program was used for descriptive statistics. The results were as follows. 1) The range of total pain scores was from 10 to 100 and the mean score of the pain in rheumatoid arthritis patients was 53.70. 2) The range of total fatigue scores was from 20 to 58 and the mean score of the fatigue in rheumatoid arthritis patients was 36.04. 3) There was a significant difference in pain according to duration of disease(F=3.934, p<.05). 4) There was a significant difference in fatigue according to duration of disease(F=3.442, p<.05). 5) The level of fatigue was significant correlation with the level of pain in rheumatoid arthritis patients(r=.217, p<.01). Conclusion: The level of fatigue was significant correlation with the level of pain in rheumatoid arthritis patients. Therefore nursing interventions decreasing the pain perceived by rheumatoid arthritis patients are needed to decrease there fatigue levels.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2006년도 추계학술발표논문집
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• pp.216-219
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• 2006

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe design and implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exac-erbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for suc-cessful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• 대한간호학회지
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• 제32권2호
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• pp.196-205
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• 2002

The purposes of this study was to evaluate an occupational health promotion program for the prevention of cardiovascular disease. Method: This study employed a quasi-experimental non-equivalent pre and post test to evaluate the program. The subjects of this study were 48 employees selected by convenience sampling who were suspected of having hypertension and hyperlipidemia in routine physical examinations and who were working in A University Hospital in Suwon. 25 subjects were assigned to the experimental group and 23 to the control group. Data collection was done using questionnaries before and after the subjects used the program. Results: The results of this study showed that systolic blood pressure, ALT, γ-GTP in the experimental group was lower than that of the control group. There were significant differences between two groups in the percentage of 'irregularity of diet' and in health behavior compliance. There were significant differences between the two groups in the number of complaints of symptoms after using the program. Conclusion: This study shows that there were no obvious differences between the two groups in all areas, but this program had a positive effect on health behavior changes. It is expected that employees' lifestyles can be changed through continuous health promotion programs.

• 의료법학
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• 제23권4호
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• pp.29-74
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• 2022

2020년 예상하지 못한 형태의 COVID-19 감염병의 급속도로 전파·확산으로 국민의 "생명·신체·재산"에 피해를 줄 수 있는 재난관리법상 사회재난이 발생하면서, 감염병병원체의 검사 및 발생 사실에 대한 신고 및 보고(제11조), 실태조사(제17조), 역학조사(제18조), 예방접종을 위한 역학조사(제29조) 등을 통하여 수집된 정보는 발전된 데이터 인식 및 처리 기술, 인공지능을 통한 학습 기술 등과 결합하여 (1) 의료자원 배분을 위한 정책적 근거 마련(병상배정, 방역물품 공급), (2) 감염병 확산 방지를 위한 방역 정책적 근거 마련(집합금지·영업제한 등 정책 결정, 확진자 발생 현황 예측을 위한 연구 및 정책 결정), (3) 예방접종 촉진 및 피해 현황 파악 등 감염병 위기 상황에서 의사결정의 중요한 근거로 활용되어 왔다. 이러한 감염병 데이터를 활용한 의료정책의 결정은 방역정책 결정, 정보제공, 의약품 개발 및 연구 기술 발전에 기여하여 왔으며, 국제적으로 감염병 데이터의 활용 법제 마련에 관한 논의가 증가하면서 감염병 데이터 활용의 법적인정 범위와 한계에 대한 관심이 높아졌다. 감염병 데이터의 활용은 감염병 전파 및 확산 차단 목적, 감염병의 예방·관리·치료업무 목적, 감염병 연구 목적으로 분류할 수 있으며, 정보의 활용은 감염병 위기 상황을 전제로 논의된다. 먼저 민감정보인 "진료기록, 예방접종약, 예방접종, 기저질환 유무, 건강순위, 장기요양인정등급, 임신여부 등"에 관한 정보의 경우, 업무 목적으로 수집·제공·활용하는 경우 개인정보보호법상 활용이 인정되는 "타법에서 정하는 업무" 범위에 대한 해석이 요구된다. "감염병 전파 및 확산 차단, 감염병의 예방·관리·치료" 목적의 업무수행의 경우 입법적으로 명확하게 사전에 규율하기 쉽지 않다. 따라서 이를 인정하기 위한 전제로 먼저 대법원 및 헌법재판소에서 의료행위의 개념을 명확하게 정의하기 어렵다는 부분을 차용할 수 있다. 따라서 현실적으로 구체적인 업무수행의 행위 유형은 후행적으로 "입법목적, 학문적 원리, 전문성, 사회통념"을 기준으로 판단하여 재량권의 일탈 또는 남용의 논리로 해석하게 된다. 목적 달성에 필요한 정보수집 대상의 확정, 수집 정보의 활용방안의 한계 설정을 위하여 감염병으로 인한 공중보건 위기 상황에서 데이터 활용의 공익적 필요성이 있는지를 우선 판단하되 해당 정보의 활용이 정보주체나 제3자의 이익을 부당하게 침해하지 않았는지를 기준으로 판단한다. 이익형량의 세부 기준으로 위기 상황에서 감염병의 전파속도와 정도, 해당 민감정보의 처리 없이 목적달성을 할 수 있었는지, 민감정보의 처리를 통한 방역정책 도입의 효과성 등을 기준으로 판단하게 된다. 한편, 연구목적 감염병데이터의 수집·제공·활용은 원칙적으로 개인정보보호법상 가명처리, 생명윤리법상 동의와 기관생명윤리위원회의 심의, 국민건강보험공단 자료 활용 시 자료제공 심의위원회 절차를 거쳐 활용되게 된다. 따라서 가명처리 및 데이터심의위원회의 심의 또는 정보주체의 동의 및 기관생명윤리심의위원회의 심의를 거치므로 원칙적으로 절차적 타당성을 확보하는 한 연구목적 활용은 인정된다. 다만, 가명화 또는 익명화 절차를 명확히하여 연구책임자의 부담을 줄여야 하며, 포괄적 동의제도와 옵트아웃 제도의 도입 또는 동의 절차가 명확히 마련되어야 하며, 기술발전으로 나타날 수 있는 재식별 가능성 또는 보안성 확보 절차를 명확히 규정할 필요가 있을 것으로 생각된다.

• Tuberculosis and Respiratory Diseases
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• 제73권1호
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• pp.48-55
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• 2012

Background: The epidemiology of tuberculosis (TB) has been assessed based on the data of the analysis of TB patients notified to the surveillance system in Korea. However, the national status of TB is not validated through this surveillance system. The objective is to determine the epidemiology of TB and to understand the accurate status of TB patients treated in private institutions. Methods: Medical records of 53,579 patients who had been diagnosed with TB in 2008 were analyzed. Results: Among 53,579 patients, the number of sputum smear positive cases was 15,639(29.2%) and the number of new cases was 39,191 (73.1%). The drug resistance rate of new cases was 5.3%, while the rate stood at 13.3% for TB patients with treatment history. The number of multi-drug resistant TB (MDR-TB) patients was 2,472 (4.6%), which consists of 2.9% of new cases and 9.3% of TB patients with prior treatment history. The number of extensively drug-resistant TB patients was 749 (1.4%), consisting of 1.1% of new cases and 2.2% of TB patients with prior treatment history. In terms of treatment outcomes, 66.4% of all TB patients, 70.5% of new cases, 64.4% of relapse cases, and 46.8% of MDR-TB cases were cured or completed. It was inferred that in 2008, the total number of TB patients reached 70,767, 145.6 per 100,000 people (95% confidence interval, 145.5~145.7). Conclusion: We conclude that the medical records review of the Health Insurance Review and Assessment Service (HIRA) data can be very effective in promoting the understanding of the current status of TB in private institutions.