• Title/Summary/Keyword: 보건정보융합

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Private information protection method and countermeasures in Big-data environment: Survey (빅데이터 환경에서 개인민감정보 보호 방안 및 대응책: 서베이)

  • Hong, Sunghyuck
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.55-59
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    • 2018
  • Big-data, a revolutionary technology in the era of the 4th Industrial Revolution, provides services in various fields such as health, public sector, distribution, marketing, manufacturing, etc. It is very useful technology for marketing analysis and future design through accurate and quick data analysis. It is very likely to develop further. However, the biggest problem when using Big-data is privacy and privacy. When various data are analyzed using Big-data, the tendency of each user can be analyzed, and this information may be sensitive information of an individual and may invade privacy of an individual. Therefore, in this paper, we investigate the necessary measures for Personal private information infringement that may occur when using Personal private information in Big-data environment, and propose necessary Personal private information protection technologies to contribute to protection of Personal private information and privacy.

Deep Learning-Based Model for Classification of Medical Record Types in EEG Report (EEG Report의 의무기록 유형 분류를 위한 딥러닝 기반 모델)

  • Oh, Kyoungsu;Kang, Min;Kang, Seok-hwan;Lee, Young-ho
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.203-210
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    • 2022
  • As more and more research and companies use health care data, efforts are being made to vitalize health care data worldwide. However, the system and format used by each institution is different. Therefore, this research established a basic model to classify text data onto multiple institutions according to the type of the future by establishing a basic model to classify the types of medical records of the EEG Report. For EEG Report classification, four deep learning-based algorithms were compared. As a result of the experiment, the ANN model trained by vectorizing with One-Hot Encoding showed the highest performance with an accuracy of 71%.

Mechanical Properties and Cross-sectional Surface Evaluation of Dental Ceramic Abutment (치과용 세라믹 임플란트 지대주의 기계적 특성 및 절단면 평가)

  • Hwang, Jun Ho;Kwon, Sung-Min;Choi, Sung Gi;Sung, Mi Ae;Lee, Kyu-Bok
    • Journal of Surface Science and Engineering
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    • v.51 no.5
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    • pp.309-315
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    • 2018
  • The purpose of this study is to assess the mechanical properties of the ceramic abutment with washer. In this study, ceramic abutment were used, tested with $30^{\circ}$ compression load, shear fatigue, adaptation accuracy test(rotation angle, contact interval), removal torque force test, torsional breaking force test. The $30^{\circ}$ compression load was 729 N, the shear fatigue load was 275 N, adaptation accuracy test of rotation angle was within $3^{\circ}$, contact interval within $10{\mu}m$, and removal torque force test value is $18.88N{\cdot}cm$, torsional breaking force test value is $35.52N{\cdot}cm$. Ceramic abutment with a washer fitted have sufficient mechanical strength and may be substituted for titanium abutment.

Implementation of Pre-Post Process for Accuraty Improvement of OCR Recognition Engine Based on Deep-Learning Technology (딥러닝 기반 OCR 인식 엔진의 정확도 향상을 위한 전/후처리기 기술 구현)

  • Jang, Chang-Bok;Kim, Ki-Bong
    • Journal of Convergence for Information Technology
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    • v.12 no.1
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    • pp.163-170
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    • 2022
  • With the advent of the 4th Industrial Revolution, solutions that apply AI technology are being actively developed. Since 2017, the introduction of business automation solutions using AI-based Robotic Process Automation (RPA) has begun in the financial sector and insurance companies, and recently, it is entering a time when it spreads past the stage of introducing RPA solutions. Among the business automation using these RPA solutions, it is very important how accurately textual information in the document is recognized for business automation using various documents. Such character recognition has recently increased its accuracy by introducing deep learning technology, but there is still no recognition model with perfect recognition accuracy. Therefore, in this paper, we checked how much accuracy is improved when pre- and post-processor technologies are applied to deep learning-based character recognition engines, and implemented RPA recognition engines and linkage technologies.

Cancer Health Literacy and Cancer Screening Behaviors: A Systematic Review (암 건강정보문해력과 암 조기진단행위: 체계적 문헌고찰)

  • Guo, Lingru;Kim, Hyunli
    • Journal of the Korea Convergence Society
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    • v.12 no.9
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    • pp.373-385
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    • 2021
  • The purpose of this paper is to systematically evaluate the relationship between cancer health literacy and cancer screening behaviors using global data. Following the preferred reporting items for systematic reviews and meta-analyses review guidelines, full-text articles published on PubMed, CINAHL, Embase, and Cochrane Library were reviewed until 31 January 2021. The reference lists of all selected studies have been also included. The cancer health literacy and cancer-screening behaviors of the participants aged ≥18 years were assessed. Seventeen studies that met the inclusion criteria were included. The cancer screening behaviors included mammograms, clinical breast cancer examination, Papanicolaou test, colonoscopy, and PSA screening. Eleven studies revealed a statistically meaningful relationship between the cancer health literacy and cancer screening behaviors. Further research should focus on developing effective interventions and guidelines on cancer health knowledge. The research scope of all areas of cancer health literacy and cancer screening behaviors should be extended to improve the cancer screening rates and public health.

Effects of Information Literacy, Risk Perception and Crisis Communication Related to COVID-19 on Preventive Behaviors of Nursing Students in Clinical Practice (임상실습을 경험한 간호대학생의 코로나바이러스감염증-19 (COVID-19) 관련 정보이해력, 위험인식 및 위기소통이 예방행위에 미치는 영향)

  • Jeong, Young-Ju;Park, Jin-Hee;Kim, Hee Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.66-74
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    • 2022
  • This study identified the impact of information literacy, risk perception, crisis communication on preventive behaviors related to COVID-19 among nursing students. Data were collected from 187 nursing students from 25 June 2020 to 3 July 2020, and analyzed using the SPSS/WIN 26.0 program. As a result of regression analysis, the factors influencing prevention behaviors were crisis communication(β=0.30, p<.001), information literacy(β=0.29, p<.001), and risk perception(β=0.19, p=.004). The explanatory power of the model was 27%. This study suggests that the focus should be on improving the activating crisis communication process among individual, family and society, increasing information literacy and risk perception on crisis when developing program to improve COVID-19 preventive behaviors of nursing students experiencing clinical practice.

A Study of the Digital Healthcare Industry in the Fourth Industrial Revolution (4차 산업혁명시대의 디지털 헬스케어 산업에 대한 연구)

  • Kim, Ki-Bong;Han, Kun-Hee
    • Journal of Convergence for Information Technology
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    • v.10 no.3
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    • pp.7-15
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    • 2020
  • As the paradigm shifts from treatment and provider-centered healthcare to prevention and consumer-centered healthcare, the integration of ICT convergence technology is calling for an era of digital healthcare industry revival in the Fourth Industrial Revolution. It is possible to provide individual customized medical services utilizing various medical data, and it is possible to provide various medical services that transcend time and space through integration with other industries. Such digital healthcare includes health, nutrition, exercise, and patient care, while the digital healthcare industry includes healthcare and IT related to medical devices, medical information systems, and healthcare platforms that can provide personal health and medical information. Due to the social demands of the aging and the increase of chronic diseases, digital healthcare is considered as an important policy in the fourth industrial revolution in Korea. In order for the digital healthcare industry to contribute to the prolongation of human life and the improvement of quality of life, it is urgent to develop related infrastructures, legal institutions, and prepare policies. In addition, it is important to activate convergent education to foster talents who will lead the digital healthcare industry. The purpose of this study was to examine the trends of the digital healthcare industry in the era of the fourth industrial revolution and the direction of government R & D policies, and to derive directions and suggestions for future development.

Study for the Pseudonymization Technique of Medical Image Data (의료 이미지 데이터의 비식별화 방안에 관한 연구)

  • Baek, Jongil;Song, Kyoungtaek;Choi, Wonkyun;Yu, Khiguen;Lee, Pilwoo;In, Hanjin;Kim, Cheoljung;Yeo, Kwangsoo;Kim, Soonseok
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.6
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    • pp.103-110
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    • 2016
  • The recent frequent cases of damage due to leakage of medical data and the privacy of medical patients is increasing day by day. The government says the Privacy Rule regulations established for these victims, such as prevention. Medical data guidelines can be seen 'national medical privacy guidelines' is only released. When replacing the image data between the institutions it has been included in the image file (JPG, JPEG, TIFF) there is exchange of data in common formats such as being made when the file is leaked to an external file there is a risk that the exposure key identification information of the patient. This medial image file has no protection such as encryption, This this paper, introduces a masking technique using a mosaic technique encrypting the image file contains the application to optical character recognition techniques. We propose pseudonymization technique of personal information in the image data.

Convergent Research on Oral Health Beliefs in Some University Students (일부 대학생의 구강건강신념에 대한 융합연구)

  • Lim, Sun-A
    • Journal of Convergence for Information Technology
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    • v.8 no.5
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    • pp.37-43
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    • 2018
  • The study was implemented the convergence research on oral health beliefs G area S university convergence course. The final analysis of 168 students agreed to research purpose and method was conducted from March 26 to June 11, 2018. The benefits was highest at 3.99 points, and the severity was lowest at 2.01 about oral health belief. The t-test and ANOVA outcome about oral health improvement behavior and oral health belief were dental clinic visit was benefits and importance, scaling experience was sensitivity, benefits and importance, use of auxiliary oral care products was importance to be statistically significant. The imported oral health beliefs for oral health improve and a variety of programs for oral health education need to be developed within university to learn knowledge of oral health behavior and attitude changed for correct oral health beliefs.

A Study of Convergence Technology in Robotic Process Automation for Task Automation (업무 자동화를 위한 RPA 융합 기술 고찰)

  • Kim, Ki-Bong
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.8-13
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    • 2019
  • Recently, In line with the recent trend of the fourth industrial revolution, many companies and institutions have been increasingly applying automated technologies using artificial intelligence to various tasks. Particularly, due to the government's 52-hour workweek system, companies are increasingly struggling with manpower management. Therefore, they are interested in RPA (Robotic Process Automation) for office environment automation for efficient manpower management. It is being introduced in the back-office business in credit card companies, bank, insurance. These RPA solutions require AI-based recognition technology, scripting technology, business software API-related technologies, and various solutions such as Automate One, Automation Anywhere, UiPath, and Blue Prism are provided. This paper analyzes and describes the technology of RPA solution, the market trend, and the efficiency of RPA adoption.