• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.117-157
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• 2021

This research reviewed the HIPAA/HITECH, 21st Century Cures Act, Common Law, and private Guidances from the perspectives in protecting and utilitizing the medical data, while implications were followed. First, the standards for protection and utilization are relatively clearly regulated through single law on personal medical information in the United States. The HIPAA has been introduced in 1996 as fundamental act on protection of medical data. Medical data was divided into personally identifiable information, non-identifying information, and limited dataset under HIPAA. Regulations on de-identification measures for medical information, objects for deletion of limited data sets, and agreement on prohibition of data re-identification were stipulated. Moreover, in the 21st Century Cures Act regulated mutual compatibility for data sharing, prohibition of data blocking, and strengthening of accessibility of data subjects. Common Law introduced comprehensive consent system and clearly stipulates procedures. Second, the regulatory system is relatively simplified and clearly stipulated in the United States. To be specific, the expert consensus and the safe harbor system were introduced as an anonymity measure for identifiable medical information, which clearly defines the process while increasing trust. Third, the protection of the rights of the data subject is specified, the duty of explanation is specified in detail, while the information right of the consumer (opt-out procedure) for identification information is specified. For instance, the HHS rule and FDA regulations recognize the comprehensive consent system for human research, but the consent procedure, method, and requirements are stipulated through the common rule. Fourth, in the case of the United States, a trust-based system is being used throughout the health and medical data legislation. To be specific, Limited Data Sets are allowed to use in condition to the researcher's agreement to prohibit re-identification, and de-identification or consent process is simplified under the system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.157-163
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• 2013

Data mining is a useful technology that can support new discoveries based on the pattern analysis and a variety of linkages between data, and currently is utilized in various fields such as finance, marketing, medical. In this paper, we propose an effective utilization method of data based on analysis of spatial data mining. We make use of basic data of foreigners living in Seoul. However, the data has some features distinguished from other areas of data, classification as sensitive information and legal problem such as personal information protection. So, we use the basic statistical data that does not contain personal information. The main features and contributions of the proposed method are as follows. First, we can use Big Data as information through a variety of ways and can classify and cluster Big Data through refinement. Second. we can use these kinds of information for decision-making of future and new patterns. In the performance evaluation, we will use visual approach through graph of themes. The results of performance evaluation show that the analysis using data mining technology can support new discoveries of patterns and results.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.115-126
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• 2014

In order to improvement of the perceptive of health state and the motivation, this study suggests the ways and design forms which provide PHR information customizing individual attributes as well as guidelines through a decision support system and services which integrate medical information visualization. Expression methods using the color, form, position in order to visualization based on images improved performance of information awareness by changing radar chart from existing information which provide only numerical figure. The methods providing a graphic figure which seems like beads of blood which shows the result of blood tests would also arise patient's attention. They gives the patient's information which is able to compare their health status and normal status and visualizes the records as a human figure in order to perceiving their status as well. The visualization showing the position of human body figures marks in inspection elements located in position of relevant organs. The method also uses icons represent examination results so they improve attention of the results and shorten recognize times.

• Journal of Society of Preventive Korean Medicine
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• v.9 no.2
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• pp.77-91
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• 2005

The purpose of this study is to examine the recognition of the student of oriental medical school on cooperative system between Oriental and Western medicine and to provide basic information for the development of oriental medicine. In order to look at the level of recognition on cooperative system between Oriental and Western medicine, from September 1st to 15th of 2005, this study had been conducted through personal interview and questionnaires to 600 students who were attending the Department of Oriental Medicine (in both prep and regular courses) in D University, located in the City of Daegu. The data has been analyzed using statistic program, the SPSS WIN 12.0. Statistical analysis tools used for this study were frequency analysis, cross-over analysis and the t-test. The results are as follows; The students of oriental medical school had relatively high level of recognition on the basic concept, interests, necessity and potential for cooperative system between Oriental and Western medicine. However, they had negative understandings on the issue of unification of the two medical systems and it's possibility in the future. The students were optimistic about possible merits of cooperative system between Oriental and Western medicine, especially in the field of rehabilitation. On the reasons for lack of development of cooperative system between Oriental and Western medicine, the students listed prejudices existing on both sides firstly, followed by their contrasting approach on human illness, lack of legal and institutional support system, the indifferences of doctors and indifferences of oriental medical doctors. In addition, students understood that the dualism existing in our current medical system is aggravating mutual distrust between the two sides, causing the confusion of patients on the choice of medical facilities, and raising their medical bills. Therefore, in order to vitalize collaboration between Oriental and Western medicine in new health care environment, the following measures should be needed decreasing the prejudices between the two medical spheres with open mind improving educational programs in Western and Oriental medical schools; promoting joint academic research or exchange programs between the schools, and increasing government effort to minimize legal and institutional restrictions cooperative system between Oriental and Western medicine.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.7-12
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• 2012

Recently the medical field to efficiently process the vast amounts of information to decision trees, neural networks, Bayesian Networks, including the application method of various data mining techniques are investigated. In addition, the basic personal information or patient history, family history, in addition to information such as MRI, HRCT images and additional information to collect and leverage in the diagnosis of disease, improved diagnostic accuracy is to promote a common status. But in real world situations that affect the results much because of the variable exists for a particular data mining techniques to obtain information through the enemy can be seen fairly limited. Medical images were taken as well as a minor can not give a positive impact on the diagnosis, but the proportion increased subjective judgments by the automated system is to deal with difficult issues. As a result of a complex reality, the situation is more advantageous to deal with the relative probability of the multivariate model based on Bayesian network, or TAN in the K2 search algorithm improves due to expansion model has been proposed. At this point, depending on the type of search algorithm applied significantly influenced the performance characteristics of the extended Bayesian network, the performance and suitability of each technique for evaluation of the facts is required. In this paper, we extend the Bayesian network for diagnosis of diseases using the same data were carried out, K2, TAN and changes in search algorithms such as classification accuracy was measured. In the 10-fold cross-validation experiment was performed to compare the performance evaluation based on the analysis and the onset of high-risk classification for patients with HRCT images could be possible to identify high-risk data.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.303-309
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• 2023

This study conducted a survey using Google on 282 college students to investigate college students' awareness of COVID-19, which has been converted into a class 4 infectious disease. As a result, the average level of interest in COVID-19 information was 2.85, and the average level of interest in COVID-19 information was 2.85. 54% did not know that the level had changed, showing that interest in COVID-19 was not high. In terms of personal hygiene attitude, the average of those who are not currently wearing a mask was 3.95, but the average of those who wear a mask when necessary was 3.94, washing hands for more than 30 seconds, washing hands frequently, and coughing etiquette were observed well. Additionally, awareness of infection was observed by others. Rather, they thought of their symptoms as connected to COVID-19 and were still conscious of COVID-19 infection (average 3.85). Additionally, COVID-19 was recognized as a threatening infectious disease that could cause a resurgence and repeat a pandemic. Since the crisis stage regarding COVID-19 can change at any time in the WithCorona era, this study sought to provide basic data for successful response to future crises by investigating trends in changes in people's perceptions.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.283-285
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• 2013

본 논문에서는 헬스케어 시스템 제공업체와 소비자 모두 스마트폰 헬스케어를 향상시킬 도구로 수용할 수 있고 ISO/IEEE11073, HL7 표준을 적용한 홈 헬스케어 시스템을 제안하고자 한다. 이 시스템은 표준 기반의 홈 헬스케어 게이트웨이 플랫폼의 중요성이 부각되는 홈 헬스케어에서 건강측정을 위하여 가장 많이 사용되는 혈당계, 혈압계, 심박측정계, 산소포화도 측정계, 심전도 측정계 등의 홈 헬스케어 의료기기를 제안하였다. 아울러, 표준 핵심 기술 요소인 ISO/IEEE 11073, HL7을 준용하는 게이트웨이 플랫폼을 스마트폰에 적용하여 PMG(personal mobile gateway) 기반의 홈&모바일 헬스케어 시스템이다.

• Korean Journal of Artificial Intelligence
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• v.5 no.2
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• pp.15-25
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• 2017

Recently, technologies are being developed to recognize and authenticate users using bioinformatics to solve information security issues. Biometric information includes face, fingerprint, iris, voice, and vein. Among them, face recognition technology occupies a large part. Face recognition technology is applied in various fields. For example, it can be used for identity verification, such as a personal identification card, passport, credit card, security system, and personnel data. In addition, it can be used for security, including crime suspect search, unsafe zone monitoring, vehicle tracking crime.In this thesis, we conducted a study to recognize faces by detecting the areas of the face through a computer webcam. The purpose of this study was to contribute to the improvement in the accuracy of Recognition of Face Based on CNN Algorithms. For this purpose, We used data files provided by github to build a face recognition model. We also created data using CNN algorithms, which are widely used for image recognition. Various photos were learned by CNN algorithm. The study found that the accuracy of face recognition based on CNN algorithms was 77%. Based on the results of the study, We carried out recognition of the face according to the distance. Research findings may be useful if face recognition is required in a variety of situations. Research based on this study is also expected to improve the accuracy of face recognition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.100-103
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• 2003

In this paper, the characteristics of an inverted-F antenna for the 2.4GHz local wireless communication system have been analysed in terms of the variation of design parameters. The antenna can be integrated on printed circuit board, and the characteristics in terms of the variation of the gap between feed line and shorting stub, gap between antenna's leg and ground plane, antenna leg's width, substrate's height and dielectric constant are analysed. By using these characterization plot of design parameter, the tuning techniques are proposed to design optimum antenna. The designed antenna has 6.4% frequency bandwidth for VSWR under 1.5 and 3dB gain.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.46-53
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• 2009

This study aims to develop a mobile-based portable u-Health Monitoring System which provides a personal medical service on demand by processing patients' data intellectually achieved through sensing technique of non-restriction/non-consciousness oriented and deciding. To do this, we composed a USN-based portable monitoring unit. It is the one, that contains a somatometry sensor which is attached to patient's body and detects bio information, a portable wireless terminal which receives information from the sensor and transmits it to monitor server, and a monitor server which interprets received data through wireless network and processes. Also, it tries to develop a non-restriction /non-consciousness oriented sensing technique which is related to glycosuria and cardiovascular diseases.