• Journal of Cardiovascular Imaging
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• v.31 no.1
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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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• v.13 no.4
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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.

• Korean Journal of Adult Nursing
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• v.27 no.4
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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.

• Journal of Korean Academy of Nursing
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• v.36 no.2
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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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• v.13 no.4
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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.

• The Korean Journal of Rehabilitation Nursing
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• v.9 no.1
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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.

• Proceedings of the KAIS Fall Conference
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• 2006.11a
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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.

• Journal of Korean Academy of Nursing
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• v.32 no.2
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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.

• The Korean Society of Law and Medicine
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• v.23 no.4
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• pp.29-74
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• 2022

As social disasters occur under the Disaster Management Act, which can damage the people's "life, body, and property" due to the rapid spread and spread of unexpected COVID-19 infectious diseases in 2020, information collected through inspection and reporting of infectious disease pathogens (Article 11), epidemiological investigation (Article 18), epidemiological investigation for vaccination (Article 29), artificial technology, and prevention policy Decision), (3) It was used as an important basis for decision-making in the context of an infectious disease crisis, such as promoting vaccination and understanding the current status of damage. In addition, medical policy decisions using infectious disease data contribute to quarantine policy decisions, information provision, drug development, and research technology development, and interest in the legal scope and limitations of using infectious disease data has increased worldwide. The use of infectious disease data can be classified for the purpose of spreading and blocking infectious diseases, prevention, management, and treatment of infectious diseases, and the use of information will be more widely made in the context of an infectious disease crisis. In particular, as the serious stage of the Disaster Management Act continues, the processing of personal identification information and sensitive information becomes an important issue. Information on "medical records, vaccination drugs, vaccination, underlying diseases, health rankings, long-term care recognition grades, pregnancy, etc." needs to be interpreted. In the case of "prevention, management, and treatment of infectious diseases", it is difficult to clearly define the concept of medical practicesThe types of actions are judged based on "legislative purposes, academic principles, expertise, and social norms," but the balance of legal interests should be based on the need for data use in quarantine policies and urgent judgment in public health crises. Specifically, the speed and degree of transmission of infectious diseases in a crisis, whether the purpose can be achieved without processing sensitive information, whether it unfairly violates the interests of third parties or information subjects, and the effectiveness of introducing quarantine policies through processing sensitive information can be used as major evaluation factors. On the other hand, the collection, provision, and use of infectious disease data for research purposes will be used through pseudonym processing under the Personal Information Protection Act, consent under the Bioethics Act and deliberation by the Institutional Bioethics Committee, and data provision deliberation committee. Therefore, the use of research purposes is recognized as long as procedural validity is secured as it is reviewed by the pseudonym processing and data review committee, the consent of the information subject, and the institutional bioethics review committee. However, the burden on research managers should be reduced by clarifying the pseudonymization or anonymization procedures, the introduction or consent procedures of the comprehensive consent system and the opt-out system should be clearly prepared, and the procedure for re-identifying or securing security that may arise from technological development should be clearly defined.

• Tuberculosis and Respiratory Diseases
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• v.73 no.1
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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.