• 한국비블리아학회지
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• 제11권1호
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• pp.45-66
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• 2000

한국에서 이용되는 의학정보데이터베이스는 대부분 미국 국립의학도서관의 MEDLINE을 이용하고 있고, 한국에서 생산되는 의학정보의 통합 데이터베이스가 없다. 한국의 의학종합정보를 공동으로 구축하고 활용하기 위하여 국내의 의학정보를 제공하고 있는 도서관간의 정보를 통합하여 단일 데이터베이스를 구축하여 이용자에게 제공할 수 있는 기사색인 시스템, 종합목록 시스템 상호대차 시스템을 설계하였다. WWW상에서 학술잡지의 소장기관을 검색할 수 있고, 국내문헌의 기사색인시스템을 검색하여 상호대차시스템과 연계하는 One Stop시스템을 설계하였다. 전국의 한국의학도서관 협의회 회원기관이 소장사항을 공동으로 입력하고, 상호대차(원문복사) 서비스시스템도 하나의 시스템에 처리하고 요금정산도 할 수 있는 의학도서관 사서가 편리하게 활용할 수 있는 토탈시스템을 구축하는 것이다.

• 보건의료산업학회지
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• 제10권4호
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• pp.25-36
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• 2016

Objectives : This study describes the current state of medical advertisement and quality of advertisement execution according to the different departments based on 2-year case study of actual medical advertisements which were published in newspapers. Additionally, this paper provides data which will help in the efficient planning of medical advertisements. Methods : This study was based on medical advertisements that were in local newspapers, etc. from January 1, 2012 to December 31, 2013. The data were collected from September 20, 2014 to November 2, 2014 (44 days). A total of 4,991 data points were acquired from newspapers supplied by the Busan Public Library directly to the researcher. Results : According to the major findings of this study, the services of clinics had more medical advertisements than that of hospitals. Urology was the most advertised service of clinics while orthopedics and neurosurgery were the most advertised services of hospitals. Conclusions : In the study, the characteristics for the technical advertising factor was evident according to the type of examinations. Some types of examinations showed definite differences compared to other examinations.

• 대한한의학회지
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• 제42권4호
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• pp.133-149
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• 2021

Objectives: To lay the foundation for future research into Korean Medicine treatment for Rotator Cuff repair surgery patients by analyzing Korean Medical and Western Medical service utilization and treatment duration. Methods: Data sampling was performed on 2015's HIRA patient data (confidence level of 97%) to analyze patients' Korean Medical and Western Medical service usage tendency. Sampled groups were divided into two groups: i) Patients who completed their treatment within five months after the rotator cuff surgery (termination group), ii) Patients who were treated for more than five months after the surgery (continuation group). Then the patients' Korean Medical and Western Medical service usage tendency was investigated and information of these patients are arranged. Results: Out of 1,453,486 patients who were gathered for sampling, 2,461 patients in total had gone through rotator cuff repair surgery. The termination group had 517 patients and the continuation group had 541 patients. The proportion of patients who visited a Korean Medicine clinic was lower in the termination group than the continuation group. Conclusion: The continuation group received more treatments (both in Western Medicine and Korean Medicine) and spent more on medical expenses compared to the termination group. Further research is highly recommended for more efficient Western Medicine and Korean Medicine treatments and reduced medical expenditure.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.75-82
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• 2022

Medical data is one of the data that must be kept in safe containers, far from intrusion, viewing and modification. With the technological developments in hospital systems and the use of cloud computing, it has become necessary to save, encrypt and even hide data from the eyes of attackers. Medical data includes medical images, whether they are x-ray images of patients or others, or even documents that have been saved in the image format. In this review, we review the latest research and the latest tools and algorithms that are used to protect, encrypt and hide these images, and discuss the most important challenges facing these areas.

• 보건행정학회지
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• 제13권2호
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• pp.125-143
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• 2003

This study was conducted to estimate the future government budget in medical expenditures using for the low-income handicapped, because medical expenditures to the low-income handicapped is escalating in these days. It became a big problem not only to the central-government but also to the district-government because they have to subsidize a part of co-payment. This study was designed to project the future government budget using structural model. For the short-term projection, the structural model is stronger than the regression model. The data used for this study were the population projection data based on National Census Data(2000) of the National Statistical Office, the data of Ministry of Health & Welfare, and the data of National Health Insurance Corporation from November 2m to June 2001. The results of the study are summarized as follows: The future government budget in medical expenditures using to the low-income handicapped will be 15-18 billion Won in the year 2003, 16-23 billion Won in 2004, 18-30 billion Won in 2005, 19-38 billion Won in 2006 and 21-49 billion Won in 2007. It is predicted that they would be increasing rapidly. Therefore, the government budget in medical expenditures using for the low-income handicapped must be enlarged.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.32-42
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• 2023

There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• 대한한방부인과학회지
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• 제32권2호
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• pp.18-28
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• 2019

Objectives: The research is aimed at identifying the necessity of the support project of Korean medical treatment in infertility by analyzing the outcome of those subject and providing data for Korean medical treatment in infertility by analyzing the medical treatment of Korean medical doctors involved in the project. Methods: 98 patients who participated in the support project of Korean medical treatment in infertility in Jeollanamdo and 57 Korean medical doctors who participated as therapists were surveyed. Patients were given four months of treatment at local Korean medical clinics. After the treatment was completed, we analyzed the characteristics of the patients' group. And we sent questionnaires to doctors to answer the message. The content of the questionnaire consisted of infertility treatments, a wish for support project. These data were analyzed by frequency and t-test. Results: Analysis of the answer to the questionnaire obtained data on Korean medical treatment in infertility. The most desired thing for future support program was the introduction of husband and wife care. Conclusions: This survey by Korean medical doctors gave us reference data for Korean medical treatment in infertility and the direction in which therapy business should proceed.

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.515-527
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• 2005

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 39,900 people. Whole data were separated by gender first and divided into three groups, including normal, stage 1 hypertension, and stage 2 hypertension. The data from each group were analyzed with data mining technique. Based on the result that we have extracted with this data mining technique, major risk factors for the hypertension are age, BMI score, family history.

• 한국주거학회논문집
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• 제19권5호
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• pp.57-65
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• 2008

The purpose of this study is to figure out the relationship between the residence stories in high-rise condominium and residents' disease patterns throughout the dweller's medical reports. Research basic data are obtained from medical fee request of National Health Insurance Corporation. Data are limited to 'A' high-rise condominium and a medical treatment time to 3 years (2004. 1-2006, 12). Data for analysis are composed of total 346,286 medical records, 43,159 disease records, and 8,999 personal records. Data are stored by sex, age, building story, residence story, visiting year and month, treatment days, main disease type (KCD-4). Treatment number, disease type and asthma in disease records and personal records are statistically analyzed by residence story considering age. Findings are as follows: 1) Women have more medical treatments than men, 40-50 age group is more treated, and the residents of 6-25 stories are more received medical treatments. According to KCD-4, diseases of the respiratory system and diseases of the eye and adnexa are relatively treated higher than other diseases. 2) The diseases of he respiratory system, the eye and adnexa, the skin and subcutaneous issue, the ear and mastoid process, and the asthma have not relation to the high-storied residence through the data of disease records and personal records. But the analysis on the data of children, age 7 and less, showed a significant relation. to conclude, there is no relationship between the residence of high-stories in the condominium and residents' disease patterns, but there is a little probable to the relationship in the pre-school child.