• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.133-137
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• 2023

In this paper, we developed a 'comprehensive pet management application' that combines pet AI diagnosis, animal hospital search, smart household accounts, and community functions. The application can solve the inconvenience of users who have to use multiple functions as separate applications, and can easily use pet AI diagnosis services through photos, provides animal hospital information using crawling, finds nearby animal hospitals, and supports smart households that can scan receipts using OCR text extraction techniques. By using this application, information necessary for raising pets such as health and consumption details of pets can be managed in one system.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.1-9
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• 2024

Predicting the spread of COVID-19 remains a challenge due to the complexity of the disease and its evolving nature. This study presents an integrated approach using the classic SIR model for infectious diseases, enhanced by the chemical master equation (CME). We employ a Monte Carlo method (SSA) to solve the model, revealing unique aspects of the SARS-CoV-2 virus transmission. The study, a first of its kind in Korea, adopts a step-by-step and complementary approach to model prediction. It starts by analyzing the epidemic's trajectory at local government levels using both basic and stochastic SIR models. These models capture the impact of public health policies on the epidemic's dynamics. Further, the study extends its scope from a single-infected individual model to a more comprehensive model that accounts for multiple infections using the jump SIR prediction model. The practical application of this approach involves applying these layered and complementary SIR models to forecast the course of the COVID-19 epidemic in small to medium-sized local governments, particularly in Gangnam-gu, Seoul. The results from these models are then compared and analyzed.

• Health Policy and Management
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• v.13 no.2
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• pp.67-84
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• 2003

Immunization has been one of the most effective measures preventing from infectious diseases. However, children routine vaccination rate of Korea was 68.2% and it was not higher than expected. Korean government revised the School Health Law for every primary school children to submit the vaccination certificate record from 2005. It is quite important national Infectious disease prevention policy to keep the immunizations rate high and monitor the immunizations rate continuously. To do this, National Institute of Health introduced the National Immunization Registry(NIR) Program at 2000. Objective : The aims of this study was to evaluate the Immunization Registry program which has been implementing since 2000 at the Public Health Centers(PHC). Methods : The mail survey was done from November 2001 to January 2002. 169 (69%) Public Health Centers among 244 PHC were responded. Results : The respondents of PHC sud the Immunization Registry(IR) program had reduced the workload (18.5%). 69.2% said they inputted the immunization data into the IR program after the shots were given. 86.5% said they hadn´t checked or retrieved the children lists who had missed the scheduled immunization. Only 17.2% said the speed of internet for the R program was good. It showed that 20% of respondents hadn´t written down documents, records on immunization any more. Even there were a lot of negative results, the respondents of PHC thought that the IR program was effective. They especially agreed that the IR program could make the job accurate (81.5%), convenient (71.3%), and reduced the chances of making mistakes (71.3%), increase the service quality (78.5%). And they were well adapting the job process of the IR (79.63%). Bivariate analysis showed that the software program was the important determinants of IR success. The only Bit Computer software program has been evaluated to be less satisfactory than the Integrated (Posdata operating system + Bit software) program. Other variables, such as age, duration of present job, and location of PHC (metropolitan, small city, rural area) were not significantly related. Conclusion : It seemed that the success of NIR might depend on the software program. Because Integrated program, which has been developed from 1994, include not only the general operating and management program for PHC but also IR program. It was natural to prefer Integrated program to Bit software program. So we can suggest that it is essential for the NIR to be successful that not only the immunization software program but also hardware equipments and public health information system should be further improved.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• Mycobiology
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• v.39 no.3
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• pp.200-205
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• 2011

Marssonina coronaria associated with apple blotch disease causes severe premature defoliation, and is widely distributed in Korea. Thirteen isolates were collected from orchards located in Gyeongbuk Province from 2005~2007. All isolates displayed over 99.6% and 99.2% sequence similarity to each other in internal transcribed spacer regions and partial sequences of 28S rDNA, respectively. The isolates were phylogenetically closely related to Chinese isolates. Selected isolates did not differ in their pathogenicity. The optimum conditions for fungal growth were $20^{\circ}C$ and pH 6 on peptone potato dextrose agar (PPDA). Peptone and mannose were the best nitrogen and carbon source, respectively. Fungal growth was better on PPDA than on common potato dextrose agar. This study provides valuable information for integrated disease management program and facilitates the routine culturing of M. coronaria.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.313-318
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• 2019

The purpose of this study is to investigate whether there is a difference in the incidence of the black circle border of iris(skin disease) according to the iris constitution. Iris was taken for 100 adults living in Seoul. Iris was photographed using the iris camera DV-2H, a blue focus development product. Statistical significance was tested by correlation analysis, and the occurrence of black circle border of iris was low negative correlation(p<0.01). As mentioned above, we know that the occurrence of black circle border of iris differs according to the iris constitution, and by using it actively, it will help health promotion about skin. There is a need to study the changes of iris in the cause of skin disease by using a blood test to analyze the cause of the skin disease in the future.

• Journal of People, Plants, and Environment
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• v.24 no.3
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• pp.301-309
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• 2021

Background and objective: The purpose of this study is to analyze the case of healing experience for lifestyle and environmental diseases through life and activities in the forest from the perspecitive of critical realism, and how the causal power and mechanism of the healing experience relate to forest healing factors and programs. Methods: 93 video data of people who started living in the forest for disease treatment were analyzed using a qualitative content analysis method from the perspective of critical realism. Categories for analysis include general categories (age, duration, occupation, disease name), forest therapy categories (climate therapy, plant therapy, water therapy, diet therapy, kinesiotherapy, psychotherapy), and other categories (ecology, learning and management, life tools), etc., and the unit of analysis is the context unit. Results: 1) The diseases that motivated life in the forest were digestive system diseases, lung diseases, cardiovascular diseases, endocrine system diseases, and various lifestyle-related diseases and environmental diseases in similar proportions. This indicates that forest life does not have specificity to respond to specific diseases, but provides treatment and recovery for all lifestyle and environmental diseases. 2) Among the forest therapies, climate therapy and plant therapy are related to the climatic and residential environment in the forest where 'natural persons' live. And others such as water therapy, diet therapy, kinesiotherapy, psychotherapy indicate the change from the lifestyle that caused the disease to the lifestyle for treatment and recovery. Conclusion: Life and activities in the forest provide an environment for treatment and recovery in which the healing principles such as aromatherapy, nutritional and dietary therapy, kinesiotherapy, and emotional psychotherapy are integrated in the 'real world'.

• Research in Plant Disease
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• v.16 no.1
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• pp.66-73
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• 2010

Field trials were conducted in Suwon, Andong, Bongwha and Taean to evaluate an anthracnose forecaster in the integrated pest management system (IPM) including anthracnose, Phytophthora blight and tobacco budworm for hot pepper in 2008-2009. Percentage of diseased fruits by pepper anthracnose and yield were compared among three treatments, no-fungicide, forecaster and conventional. The incidence and yield of the forecaster at Bongwha on two varieties were 3.1-3.5% and 30-33 kg/40 plants. These were little less than those of the conventional's 0.3-0.8% and 35-36 kg/40 plants and much higher than those of the no-fungicide's 23-27% and 18-24 kg/40 plants. The number of spray at the forecaster was 5 times, whereas those at the conventional was 11-19 times depending on the farmers. In addition, the results of an anthracnose forecaster at the other three field trials allowed in protecting hot pepper from anthracnose while reducing the amount of pesticides used and the total cost of the pathogen control. However, it is needed to improve for anthracnose forecaster when anthracnose pressure was high such as Taean where 60-80% of the incidence. Because the control values of the forecaster at Taean were between those of no-pesticide and conventional treatment at best. If anthracnose is severe early in the season, additional preventive control should be considered when the fruits were fully grown yet.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.263-272
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• 2011

The purpose of this study is suggesting proper management methods for the national health expenditures by considering advanced countries and analysing the problems of national health expenditures management in korea. The majors results of the research are as follows. First, most advanced countries is integrating the management of national health expenditures about health insurance, workmen's accident compensation insurance and auto insurance etc, and medical prices and benefit standards are same regardless of insurance type. Second, national health expenditures has been managing separately by national health systems in korea, and there are many problems like the differences medical expenditure review and payment, medical prices and benefit standards etc. Although same symptoms and disease, there is great difference in health service utilization. Hereafter, management system of national health expenditures must be integrated, and must change same medical prices and benefit standards.

• Journal of Korean Neurosurgical Society
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• v.66 no.6
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.