• 한국병원경영학회지
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• 제15권1호
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• pp.49-69
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• 2010

The major purpose of this study is to find out relevant factors affecting utilization of Long Term Care Hospitals since the Elderly Long Term Care Insurance System was adopted in Korea. The sample hospitals of this study are 5 long term care hospitals located in 4 big cities and 1 local area. The research data were collected with structured questionnaire from 247 patients and patients' protectors in 5 sample hospitals. Analyzing methods are descriptive statistics, factor analysis and multiple regression with SPSS(version 12.0). Major results of this study are as follows. 1) Utilization and recommendation of patients is affected significantly by the level of hospital facilities (0.043), fee level(0.026), level of staff (0.000), and discomfort of services(0.001). 2) Level of staff is very positively correlated with utilization and recommendation of patients. 3) Discomport of services is very negatively correlated with utilization and recommendation of patients. On the basis of results this study conclude that the management of Long Term Care Hospitals is required conclude to improve the level of staff and facilities and to solve discomport problems of services for patients' marketing. And also more in-depth study on the utilization factors of long term care hospital in Korea is required.

• 한국인터넷방송통신학회논문지
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• 제23권6호
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• pp.199-208
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• 2023

국민건강보험공단에 따르면 불규칙한 식습관, 스트레스, 운동 부족 등의 요인으로 젊은 당뇨 환자가 2017년 대비 2021년에 3,564,059명으로 24.3% 증가 추세를 보였다. 모든 연령층에서 증가 중인 당뇨병은 약물치료, 규칙적인 운동, 식사요법 관리가 필요하다. 이 중 식사요법은 적절한 열량 및 균형 잡힌 3대 영양소 섭취를 필요로 하므로 매우 체계적인 관리가 필요하다. 현재 당뇨 식단 추천은 개인 정보, 건강 정보, 사회적, 문화적 측면을 고려하여 식단을 제안하지만, 건강 정보에 대한 다중 변수를 고려하지 않은 부분이 미흡하다. 이에 본 논문은 당뇨병 환자의 라이프로그 데이터를 이용한 식단 추천 시스템을 제안하여 데이터 다중 변수를 고려해 개인의 건강 상태에 따른 맞춤형 식단을 추천하고자 한다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권1호
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• pp.239-247
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• 2016

Background: The overall cervical cancer incidence rate is low in Iran; however, because of a higher risk of death for cervical cancer, a disease that kills women in middle age, a cervical cancer control program is needed. The aim of this study was to provide consensus recommendation for cervical cancer prevention in Iran and other Muslim societies with low incidences of cervical cancer. Materials and Methods: Through a practical guideline development cycle, we developed six questions that were relevant to produce the recommendation. We reviewed 190 full text records of cervical cancer in Iran (1971 to 2013) of which 13 articles were related to the data needed to answer the recommendation questions. We also reviewed World Health Organization, IARC, GLOBOCAN report, Iran Ministry of Health cancer registry report and 8 available foreign countries guidelines. Lastly, we also evaluated the Pap smear results of 825 women who participated in the Iranian HPV survey, of whom 328 were followed-up after a 5-year interval. Results: The obtained data highlighted the burden of HPV and cervical cancer situation in Iran. Experts emphasized the necessity of a cervical cancer screening program for Iranian women, and recommended an organized screening program with a cytological evaluation (Pap smear) that would start at the age of 30 years, repeated every 5 years, and end at the age of 69 years. Meanwhile, there is no need for screening among women with a hysterectomy, and screening should be postponed to post-partum among pregnant women. Conclusions: An organized cervical cancer screening is a necessity for Iran as more than 500-900 women in middle age diagnosed with an invasive cervical cancer every year cannot be ignored. This recommendation should be taken into account by the National Health System of Iran and Muslim countries with shared culture and behavior patterns. CUBA HPV test could be consideration in countries Muslim country with appropriate budget, resources and facility.

• 대한통합의학회지
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• 제4권4호
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• pp.7-11
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• 2016

Purpose : This study was to suggest a recommendation of the role and the operating qualification system of health education specialists. Method : This study was conducted by law and descriptive literature review on health education and health promotion. Result : This study was to analysis of the contents of the National Health Promotion Law and the relevant literature. Conclusion : This study was to analyze the suggestions below to research a health education specialists qualifications and duties and role-specific factors based on the content of legislation and review of the literature.

• 한국융합학회논문지
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• 제10권11호
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• pp.159-164
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• 2019

ICT 기술 발전으로 강아지와 고양이등 반려동물 돌보기와 건강에 대한 관심도가 높아지고 있다. 본 논문에서는 반려동물 산업의 다양한 분야에 활용될 수 있도록 반려동물 사료의 성분 데이터를 기반으로 군집분석을 수행하고 적합한 서비스에 대해 고찰한다. 군집분석을 위해 시중에서 유통되고 있는 300여 개의 강아지 및 고양이 펫푸드를 대상으로 성분별 상관관계를 분석하여 유사성을 측정하며, Hierarchical, K-Means, Partitioning around medoids(PAM), Density-based, Mean-Shift 등의 다양한 클러스터링 기법을 활용하여 군집화 하여 분석한다. 또한 반려동물의 개인화 추천시스템도 제안한다. 본 논문의 연구 결과는 반려동물을 대상으로 한 사료 추천시스템 등의 맞춤형 개인화 서비스에 활용할 수 있다.

• 한국환경보건학회지
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• 제33권4호
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• pp.235-241
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• 2007

The National Institute of Environmental Research(NIER) launched a research about Framework of Environmental Health Information System for Industrial Complex in 2001, with the goal of finding out measures to establish an integrated management system(IMS) for environmental health information. Based on the research results, NIER started to build integrated information system. The process will continue from 2006 to 2008. As the first step, in 2006, NIER outsourced the job of setting up the specific plan. In 2007, based on the plan created in the previous year, computerization work began. During 2008, the $3^{rd}$ year of the process, the integrated system will be compatible to conventional GIS system and statistics analysis system to deliver funker efficient and useful services. In this vein, the objective of the study is to identify data collection procedure, data utilization, and overall goal of the system. In addition, It will illustrate digitalization process and recommendation about how to utilize the system.

• 보건행정학회지
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• 제29권3호
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• pp.342-356
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• 2019

Background: The objectives of the study are to find out the effect of the implementing reform in three Central Asian countries, identify its impact on health status and health care delivery systems. This study address to identify strong and weak points of the health systems and provide a recommendation for further health care organization. Methods: A comparative analysis was conducted to evaluate the effects of implemented policy on health care system efficiency and equity. Secondary data were collected on selected health indicators using information from the World Health Organization Global Health Expenditure Database, European Health Information Platform, and World Bank Open Data. Results: In terms of population status, countries achieved relatively good results. Infant mortality and under-5 mortality rate decreased in all countries; also, life expectancy increased, and it was more than 70 years. Regulations of the health systems are still highly centralized, and the Ministry of Health is the main organ responsible for national health policy developing and implementation. Among the three countries, only Kyrgyzstan was successful in introducing a national health system. Distribution of health expenditure between public expenditure and out-of-pocket payments was decreased, and out-of-pocket payments were less the 50% of total health expenditure in all countries, in 2014. Conclusion: After independent, all three countries implemented a certain number of the policy reform, mostly it was directed to move away from the old the Soviet system. Subsequent reform should be focused on evidence-based decision making and strengthening of primary health care in terms of new public health concepts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.2910-2925
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• 2017

Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Due to diversity in food components and large number of dietary sources, it is challenging to perform real-time selection of diet patterns that must fulfill one's nutrition needs. Particularly, selection of proper diet is critical for patients suffering from various diseases. In this article, we highlight the issue of selection of proper diet that must fulfill patients' nutrition requirements. To address this issue, we present a cloud based food recommendation system, called Diet-Right, for dietary recommendations based on users' pathological reports. The model uses ant colony algorithm to generate optimal food list and recommends suitable foods according to the values of pathological reports. Diet-Right can play a vital role in controlling various diseases. The experimental results show that compared to single node execution, the convergence time of parallel execution on cloud is approximately 12 times lower. Moreover, adequate accuracy is attainable by increasing the number of ants.

• 응용통계연구
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• 제31권6호
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• pp.693-706
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• 2018

노인의 신체기능에 부합하는 복지용구를 제공하는 것은 노인이 가능한 한 오랫동안 자신의 집과 지역사회에서 자립하여 생활할 수 있도록 돕기 위해 매우 중요하다. 본 연구는 수급자의 신체 및 인지 기능 상태를 고려하여 개개인에게 적합한 복지용구 품목을 권고할 수 있는 과학적인 복지용구 표준급여모형 알고리즘을 개발하고자 수행되었다. 모형개발에는 데이터마이닝기법인 의사결정나무를 활용하였다. 수급자 8,084명의 장기요양인정조사자료와 파워어세서가 작성한 표준급여계획, 수급자 특성 자료를 이용하여 데이터를 구축하였고, 15개 복지용구 품목별로 표준급여모형을 개발하였다. 본 연구는 노인장기요양보험의 복지용구 급여계획의 객관성 및 과학성을 확보하고 수급자의 자립생활과 안전을 향상시키는 데에 기여할 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.