• Title/Summary/Keyword: online health information

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A Study on Application of Internet-based Personal Health Record(PHR) System: Using Google Health (인터넷기반의 개인전자건강기록 시스템 적용사례 연구: 구글헬스를 중심으로)

  • Jeong, Seong-Hee
    • Journal of Digital Contents Society
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    • v.10 no.3
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    • pp.433-439
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    • 2009
  • With the help of fast growing popularization of internet, all areas of e-Health have expanded rapidly; such that people have become interested in digital personal health record and its management. This paper examined the characteristics of personal health record and made the analysis of the structure of Google Health, the internet-based personal health record system. Google Health allows you to store and manage all of your health information, import medical records from hospitals and pharmacies, share your health records, and explore online health services. This examples represents not only a significant change of current medical systems but also enables to estimate the future stream of it. As a result, this paper, in the areas of e-Health which will be expanded in various service areas, may give you a greater sense of importance of personal health record and will eventually provide more complemental structure of future personal health record through comparative studies on the strength and weakness of it.

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A Study on the Policy Implication on the Management of Narcotics Distribution for Medical Use (의료용 마약류 유통 관리에 대한 고찰과 정책적 함의: 유통자료 및 청구자료 분석을 중심으로)

  • Yu, Su-Yeon;Cho, Hyunmin;Kang, Hyeun Ah;Kim, Sukyeong
    • Korean Journal of Clinical Pharmacy
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    • v.25 no.4
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    • pp.280-285
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    • 2015
  • Objectives: To suggest direction for improving policies by understanding current management of narcotics or psychotropic drugs and analyzing their distributions and usage. Method: We conducted a comparison analysis between health insurance claims and the amount supplied to health care institutions for narcotics or psychotropic drugs through health insurance claims data and drug distribution supply data from 2010 to 2012 collected from Korea Pharmaceutical Information Service Center (KPIS). Furthermore, we carried out literature investigation and online search to comprehend the current management of narcotics drugs in Korea. Results: The amount supplied to medical institutions for all drugs in 2012 was 19.4 trillion won, which increased from 19.5 trillion in 2011 by 0.54%. For narcotic drugs, the amount supplied was 318.4 billion won in 2011 and increased to 335.1 billion won by 5.3% in 2012, which exceeded the rate of increase for the amount supplied for all drugs. The proportion of amount claimed in the total amount supplied to medical institutions for all drugs was 60.5% in 2012, whereas the proportion of amount claimed for narcotic drugs was 55.6%, which showed that narcotic drugs were used relatively less within health insurance. Furthermore, management of the current domestic distribution supply data focuses on manufacturing and medical institution supply stages. Conclusion: Hereafter, the management of narcotics or psychotropic drugs needs to be improved by reinforcing active monitoring in optimal prescription and usage in patients by collecting and analyzing information on drug usage of patients.

Multiscale features and information extraction of online strain for long-span bridges

  • Wu, Baijian;Li, Zhaoxia;Chan, Tommy H.T.;Wang, Ying
    • Smart Structures and Systems
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    • v.14 no.4
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    • pp.679-697
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    • 2014
  • The strain data acquired from structural health monitoring (SHM) systems play an important role in the state monitoring and damage identification of bridges. Due to the environmental complexity of civil structures, a better understanding of the actual strain data will help filling the gap between theoretical/laboratorial results and practical application. In the study, the multi-scale features of strain response are first revealed after abundant investigations on the actual data from two typical long-span bridges. Results show that, strain types at the three typical temporal scales of $10^5$, $10^2$ and $10^0$ sec are caused by temperature change, trains and heavy trucks, and have their respective cut-off frequency in the order of $10^{-2}$, $10^{-1}$ and $10^0$ Hz. Multi-resolution analysis and wavelet shrinkage are applied for separating and extracting these strain types. During the above process, two methods for determining thresholds are introduced. The excellent ability of wavelet transform on simultaneously time-frequency analysis leads to an effective information extraction. After extraction, the strain data will be compressed at an attractive ratio. This research may contribute to a further understanding of actual strain data of long-span bridges; also, the proposed extracting methodology is applicable on actual SHM systems.

Automatic wall slant angle map generation using 3D point clouds

  • Kim, Jeongyun;Yun, Seungsang;Jung, Minwoo;Kim, Ayoung;Cho, Younggun
    • ETRI Journal
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    • v.43 no.4
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    • pp.594-602
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    • 2021
  • Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.

The Association between Social Support and Health Behaviors for Metabolic Syndrome Prevention among University Students: The Mediating Effect of Perceived Stress (대학생 집단에서 사회적 지지와 대사증후군 예방 건강 행동 간의 상관관계: 지각된 스트레스의 매개효과)

  • Park, Sooyeon;Cho, Suah;Lee, Eugene;Choi, Sungchul;Choo, Jina
    • Research in Community and Public Health Nursing
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    • v.32 no.3
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    • pp.404-414
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    • 2021
  • Purpose: Health behaviors for metabolic syndrome (MetS) prevention should be emphasized from early adulthood. There is little information on psychosocial factors associated with health behaviors for MetS prevention. The aim of this study was to determine whether there would be a mediating effect of perceived stress on the association between social support and health behaviors for MetS prevention among university students. Methods: This cross-sectional and correlation study was conducted with 502 university students in South Korea. Social support, perceived stress, and lifestyle evaluation for metabolic syndrome scales were used. Online questionnaire survey was conducted between November and December 2019. The mediating effect of social support on health behaviors for MetS prevention was analyzed using PROCESS macro program with bootstrapping method to test our hypotheses. Results: Social support directly influenced perceived stress (β=-.35, p<.001) and health behaviors for MetS prevention (β=.14, p=.002). Health behaviors for MetS prevention was indirectly influenced by perceived stress (β=-.25, p<.001). The size of indirect effect of social support on health behaviors for MetS prevention was 0.06. Conclusions: The association of social support and health behaviors for MetS prevention was partially mediated by perceived stress among university students. Therefore, a university-based nursing intervention should comprise social support strategies with stress management to promote health behaviors for MetS prevention.

Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks

  • Eo, Kyun Sun;Lee, Kun Chang
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.171-177
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    • 2019
  • This paper aims to find the most effective feature selection method for the sake of opinion mining tasks. Basically, opinion mining tasks belong to sentiment analysis, which is to categorize opinions of the online texts into positive and negative from a text mining point of view. By using the five product groups dataset such as apparel, books, DVDs, electronics, and kitchen, TF-IDF and Bag-of-Words(BOW) fare calculated to form the product review feature sets. Next, we applied the feature selection methods to see which method reveals most robust results. The results show that the stacking classifier based on those features out of applying Information Gain feature selection method yields best result.

The Effects of COVID-19 Risk Information Seeking and Processing on its Preventive Behaviors and Information Sharing (코로나19 (COVID-19) 관련 위험정보 탐색과 처리가 코로나19 예방 행동 및 정보 공유에 미치는 영향)

  • Park, Minjung;Chai, Sangmi
    • Journal of Information Technology Services
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    • v.19 no.5
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    • pp.65-81
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    • 2020
  • This study aims to examine the effects of users' perceptions of COVID-19 risk on their seeking and processing of relevant information as COVID-19 emerges and spreads worldwide in 2019. We apply the risk information seeking and processing model (RISP Model) to verify whether users' COVID-19 related information seeking and processing behaviors have a positive effect on their preventive and information sharing behaviors. To achieve this research goal, an online survey was conducted with about 400 of social media users. The users' perceptions of risk for COVID-19 increased their perceived insufficiency of COVID-19 information. In addition, the perceived insufficiency of users' information formed a positive relationship with seeking and searching of information behaviors. The processing of COVID-19 related information has increased related preventive behaviors and sharing of information through social media. While searching for information related to COVID-19 prompted personal information sharing behaviors, it did not significantly affect preventive behaviors. Accordingly, in order to promote COVID-19 preventive behaviors as well as overall user health-related behaviors it can be inferred that additional measures are needed in addition to pursuing relevant information.

Characterizing Patterns of Experience of Harmful Shops among Adolescents Using Decision Tree Models (데이터마이닝을 이용한 청소년 유해업소 출입경험에 영향을 주는 요인)

  • Sohn, Aeree
    • Korean Journal of Health Education and Promotion
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    • v.31 no.3
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    • pp.15-26
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    • 2014
  • Objective: This study was conducted in order to explore the predictive model of the experience of harmful shops in middle and high school students. Methods: The survey was conducted using a self-administered questionnaire method online via the homepage of the education ministry's student health information center. Participants were 1,888 middle school students and 1,563 high school students from 107 schools in Korea. The collected data were processed using the SPSS classification trees 18.0 program and examined using data mining decision tree model. Results: In this study, 6.9% of all subjects were found to have been to sex industry harmful place and 81.8% game place. The results revealed that smoking, living with parents, and school grade were significant predictors for experience of sex industry harmful place. The perception of study disrupts, drinking, living with parents, stress, and satisfaction of school life were significant predictors for experience of game harmful place. Conclusions: These results suggest that an educational approach should be developed by tailored conditions to prevent the access to harmful shops.

EvoSNP-DB: A database of genetic diversity in East Asian populations

  • Kim, Young Uk;Kim, Young Jin;Lee, Jong-Young;Park, Kiejung
    • BMB Reports
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    • v.46 no.8
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    • pp.416-421
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    • 2013
  • Genome-wide association studies (GWAS) have become popular as an approach for the identification of large numbers of phenotype-associated variants. However, differences in genetic architecture and environmental factors mean that the effect of variants can vary across populations. Understanding population genetic diversity is valuable for the investigation of possible population specific and independent effects of variants. EvoSNP-DB aims to provide information regarding genetic diversity among East Asian populations, including Chinese, Japanese, and Korean. Non-redundant SNPs (1.6 million) were genotyped in 54 Korean trios (162 samples) and were compared with 4 million SNPs from HapMap phase II populations. EvoSNP-DB provides two user interfaces for data query and visualization, and integrates scores of genetic diversity (Fst and VarLD) at the level of SNPs, genes, and chromosome regions. EvoSNP-DB is a web-based application that allows users to navigate and visualize measurements of population genetic differences in an interactive manner, and is available online at [http://biomi.cdc.go.kr/EvoSNP/].

The awareness of "School Environmental Sanitation and Cleanup Zone System" and harmful perception by shops among students, teachers and parents in Korea (학생, 교사와 학부모의 학교환경위생정화구역의 인지도 및 업소별 유해인식도)

  • Sohn, Aeree
    • Korean Journal of Health Education and Promotion
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    • v.32 no.5
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    • pp.83-92
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    • 2015
  • Objectives: This study was conducted to determine the status of the awareness of "school environmental sanitation and cleanup zone system" and to identify the level of harmful perception by shops. Methods: The survey was conducted using a self-administered questionnaire method online via the homepage of the education ministry's student health information center. A total of 293 schools (126 primary schools, 62 middle schools, and 45 high schools) was selected by using a stratified probability sampling. Results: Some 32.1% of all subjects knew the law of school environmental sanitation and cleanup zone system. The mean of harmful perception was 3.01 (very harmful: 4, harmful: 3, little harmful: 2, no harmful: 1). Regarding the types of high level of harmful perception of shops, adult good shops (3.53), hostess bar (3.52), karaoke bar (3.47), Cigarette vending machines (3.47), Adult only theater (3.47) and Phone sex room (3.37) were high. Singing room (2.29), dance school (2.45), tourist hotel (2.58), comic room (2.59), mini game console (2.66), hotel (2.77), billiard hall (2.81), PC room (2.83) were relatively low in the level of harmful perception. Conclusions: National government-level management and supervision will be necessary to prevent adolescent access to harmful shops.