• Title/Summary/Keyword: online health information

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A Study on Improving a Classification for Health Categories of Internet Bookstores in Korea (국내 인터넷 서점의 건강 분야 분류체계 개선 방안에 관한 연구)

  • Choi, Ye-Jin;Chung, Yeon-Kyoung
    • Journal of the Korean Society for information Management
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    • v.30 no.3
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    • pp.49-70
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    • 2013
  • The purposes of this study are to analyze and compare current state of subject directories of the health field in eight internet bookstores in domestic and abroad. A comparative analysis was carried out for KDC and DDC, using names of subdivisions within the health field of internet bookstore. Also, user interviews to find their information needs about the health field in internet bookstore were conducted. And then, based upon the findings, this study proposed a design principle and a new classification for the health field of internet bookstores. With evaluations of the experts from the field, a final classification schedule (1 class, 11 division, 60 subdivision, and 16 section) was suggested. The results of this study can be used for a foundation of classifying health resources efficiently in internet bookstores and other web sites.

An Interactive e-HealthCare Framework Utilizing Online Hierarchical Clustering Method (온라인 계층적 군집화 기법을 활용한 양방향 헬스케어 프레임워크)

  • Musa, Ibrahim Musa Ishag;Jung, Sukho;Shin, DongMun;Yi, Gyeong Min;Lee, Dong Gyu;Sohn, Gyoyong;Ryu, Keun Ho
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.399-400
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    • 2009
  • As a part of the era of human centric applications people started to care about their well being utilizing any possible mean. This paper proposes a framework for real time on-body sensor health-care system, addresses the current issues in such systems, and utilizes an enhanced online divisive agglomerative clustering algorithm (EODAC); an algorithm that builds a top-down tree-like structure of clusters that evolves with streaming data to rationally cluster on-body sensor data and give accurate diagnoses remotely, guaranteeing high performance, and scalability. Furthermore it does not depend on the number of data points.

Impact of Rumors and Misinformation on COVID-19 in Social Media

  • Tasnim, Samia;Hossain, Md Mahbub;Mazumder, Hoimonty
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.3
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    • pp.171-174
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    • 2020
  • The coronavirus disease 2019 (COVID-19) pandemic has not only caused significant challenges for health systems all over the globe but also fueled the surge of numerous rumors, hoaxes, and misinformation, regarding the etiology, outcomes, prevention, and cure of the disease. Such spread of misinformation is masking healthy behaviors and promoting erroneous practices that increase the spread of the virus and ultimately result in poor physical and mental health outcomes among individuals. Myriad incidents of mishaps caused by these rumors have been reported globally. To address this issue, the frontline healthcare providers should be equipped with the most recent research findings and accurate information. The mass media, healthcare organization, community-based organizations, and other important stakeholders should build strategic partnerships and launch common platforms for disseminating authentic public health messages. Also, advanced technologies like natural language processing or data mining approaches should be applied in the detection and removal of online content with no scientific basis from all social media platforms. Furthermore, these practices should be controlled with regulatory and law enforcement measures alongside ensuring telemedicine-based services providing accurate information on COVID-19.

A Learning-based Power Control Scheme for Edge-based eHealth IoT Systems

  • Su, Haoru;Yuan, Xiaoming;Tang, Yujie;Tian, Rui;Sun, Enchang;Yan, Hairong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.12
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    • pp.4385-4399
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    • 2021
  • The Internet of Things (IoT) eHealth systems composed by Wireless Body Area Network (WBAN) has emerged recently. Sensor nodes are placed around or in the human body to collect physiological data. WBAN has many different applications, for instance health monitoring. Since the limitation of the size of the battery, besides speed, reliability, and accuracy; design of WBAN protocols should consider the energy efficiency and time delay. To solve these problems, this paper adopt the end-edge-cloud orchestrated network architecture and propose a transmission based on reinforcement algorithm. The priority of sensing data is classified according to certain application. System utility function is modeled according to the channel factors, the energy utility, and successful transmission conditions. The optimization problem is mapped to Q-learning model. Following this online power control protocol, the energy level of both the senor to coordinator, and coordinator to edge server can be modified according to the current channel condition. The network performance is evaluated by simulation. The results show that the proposed power control protocol has higher system energy efficiency, delivery ratio, and throughput.

A Study on the Role of Online Games in Pandemic (팬데믹 상황에서 온라인게임의 역할에 대한 연구)

  • Chung, Won-Jae;Lee, Jong-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.479-480
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    • 2020
  • 2020년 초 코로나바이러스감염증-19(COVID-19)로 인해 전 세계적으로 사회적 거리두기 가 권고 되면서, 많은 사람들이 집에서 소비 할 수 있는 콘텐츠로 IT 네트워크 서비스를 기반한 장르의 소비가 증가했고, 게임산업에서도 신규 이용자의 유입이 증가하고 있다. 이에 따라 본 논문에서는 코로나바이러스감염증-19(이하 COVID-19)로 혼란스러운 상황에서 게임이 어떤 역할을 할 수 있을지를 고찰해본다.

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Exploring the Performance of Deep Learning-Driven Neuroscience Mining in Predicting CAUP (Consumer's Attractiveness/Usefulness Perception): Emphasis on Dark vs Light UI Modes (딥러닝 기반 뉴로사이언스 마이닝 기법을 이용한 고객 매력/유용성 인지 (CAUP) 예측 성능에 관한 탐색적 연구: Dark vs Light 사용자 인터페이스 (UI)를 중심으로)

  • Kim, Min Gyeong;Costello, Francis Joseph;Lee, Kun Chang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.19-22
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    • 2022
  • In this work, we studied consumers' attractiveness/usefulness perceptions (CAUP) of online commerce product photos when exposed to alternative dark/light user interface (UI) modes. We analyzed time-series EEG data from 31 individuals and performed neuroscience mining (NSM) to ascertain (a) how the CAUP of products differs among UI modes; and (b) which deep learning model provides the most accurate assessment of such neuroscience mining (NSM) business difficulties. The dark UI style increased the CAUP of the products displayed and was predicted with the greatest accuracy using a unique EEG power spectra separated wave brainwave 2D-ConvLSTM model. Then, using relative importance analysis, we used this model to determine the most relevant power spectra. Our findings are considered to contribute to the discovery of objective truths about online customers' reactions to various user interface modes used by various online marketplaces that cannot be uncovered through more traditional research approaches like as surveys.

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Psychological Impact of Health Risk Appraisal of Korean Women at Different Levels of Breast Cancer Risk: Neglected Aspect of the Web-based Cancer Risk Assessment Tool

  • Kye, Su-Yeon;Park, Kee-Ho;Park, Hyeong-Geun;Kim, Myung-Hyun
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.2
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    • pp.437-441
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    • 2012
  • Objective: Health risk appraisal is often utilized to modify individual's health behavior, especially concerning disease prevention, and web-based health risk appraisal services are being provided to the general public in Korea. However, little is known about the psychological effect of the health risk appraisal even though poorly communicated information by the web-based service may result in unintended adverse health outcomes. This study was conducted to explore the psychological effect of health risk appraisal using epidemiological risk factor profile. Methods: We conducted a randomized trial comparing risk factor list type health risk appraisal and risk score type health risk appraisal. We studied 60 women aged 30 years and older who had no cancer. Anxiety level was assessed using the Spielberger State-Trait Anxiety Inventory YZ. Results: The results of multivariate analysis showed that risk status was the independent predictors of increase of state anxiety after health risk appraisal intervention when age, education, health risk appraisal type, numeracy, state anxiety, trait anxiety, and health risk appraisal type by risk status interaction was adjusted. Women who had higher risk status had an odd of having increased anxiety that was about 5 times greater than women who had lower risk status. Conclusions: Our findings indicate that communicating the risk status by individual health risk appraisal service can induce psychological sequelae, especially in women having higher risk status. Hospitals, institutes, or medical schools that are operating or planning to operate the online health risk appraisal service should take side effects such as psychological sequelae into consideration.

Development of Health Information Program for the Middle Aged Women (중년여성을 위한 건강정보 프로그램 개발과 건강교육 활용에 관한 연구)

  • Park, Hyeoun-Ae;Park, Young-Sook;Oh, Hyo-Sook;Kim, Hoo-Jung
    • Women's Health Nursing
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    • v.8 no.2
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    • pp.165-176
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    • 2002
  • The purpose of the study was to develop a Web site for the middle-aged women and test the usability of the site. Users' need for information were identified via online survey of 189 middle-aged women. It was found that they had various health problems but very few did any health prevention or health promotion activities. A web site for the middle-aged women was developed based on the result of needs assessment. The site includes content on exercise, diet including weight control, osteoporosis, climacteric, aging, breast and cervical cancer. Besides this health information, FAQ on women's health, my health knowledge test, statistics, link to related institutes and web sites, newspaper articles/mass media clips, journal articles, conferences, papers and other educational information were added. The site was developed as a subsystem of the Healthguide(http://healthguide.kihasa.re.kr). As a way of utilizing the homepage, twenty two women aged 40-50 were recruited at a community-based gathering and health promotion education program was conducted. To test the effectiveness of the education, knowledge, attitude and behavior changes of before and after education were compared. There were significant differences of knowledge and behavior in breast cancer, cervical cancer, osteoporosis, menopause and sexual life. It is expected that Web-based women's health information will contribute to women's health promotion and provide an effective learning media for health education.

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Using Focus Group Interviews to Analyze the Behavior of Users of New Types of Tobacco Products

  • Kim, Jinyoung;Lee, Sungkyu
    • Journal of Preventive Medicine and Public Health
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    • v.50 no.5
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    • pp.336-346
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    • 2017
  • Objectives: To characterize the usage patterns of new types of tobacco products (NTTPs) to develop effective strategies for the regulation of NTTPs in Korea. Methods: We conducted focus group interviews to identify the NTTP usage patterns of research subjects. The NTTPs were limited to electronic cigarettes (e-cigarettes), waterpipe tobacco, and rolling tobacco. We categorized 30 research subjects into 4 groups. The ecigarette group was divided into adult and adolescent groups. Each group contained 7-8 subjects. An interview lasting approximately 2 hours was conducted with each group. Results: Ninety percent of NTTP users used an NTTP in combination with conventional cigarettes. Subjects mostly bought NTTPs online, unlike how they bought cigarettes. Additionally, a great deal of information, such as how to use NTTPs and descriptions of NTTP products, was exchanged through online or offline societies. The primary reason why the subjects used NTTPs was that NTTPs offer a greater range of flavors and aromas than cigarettes. Moreover, NTTPs were felt to be less repulsive than cigarettes. NTTPs were not used as a cigarette substitute; rather, they were mostly used in places and situations where traditional cigarette smoking was not allowed. Conclusions: Based on the results of this study, the government should conduct studies on the effects of the combined use of NTTPs and cigarettes on the human body, obtain and provide accurate data regarding NTTP use, and develop and implement polices to ban NTTP advertising, which may arouse adolescents' curiosity, and the addition of flavoring substances to tobacco products.

A Technique for Product Effect Analysis Using Online Customer Reviews (온라인 고객 리뷰를 활용한 제품 효과 분석 기법)

  • Lim, Young Seo;Lee, So Yeong;Lee, Ji Na;Ryu, Bo Kyung;Kim, Hyon Hee
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.9
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    • pp.259-266
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    • 2020
  • In this paper, we propose a novel scheme for product effect analysis, termed PEM, to find out the effectiveness of products used for improving the current condition, such as health supplements and cosmetics, by utilizing online customer reviews. The proposed technique preprocesses online customer reviews to remove advertisements automatically, constructs the word dictionary composed of symptoms, effects, increases, and decreases, and measures products' effects from online customer reviews. Using Naver Shopping Review datasets collected through crawling, we evaluated the performance of PEM compared to those of two methods using traditional sentiment dictionary and an RNN model, respectively. Our experimental results shows that the proposed technique outperforms the other two methods. In addition, by applying the proposed technique to the online customer reviews of atopic dermatitis and acne, effective treatments for them were found appeared on online social media. The proposed product effect analysis technique presented in this paper can be applied to various products and social media because it can score the effect of products from reviews of various media including blogs.