• 제목/요약/키워드: Health Platform

검색결과 497건 처리시간 0.02초

Remote Diagnosis of Hypertension through HTML-based Backward Inference

  • Song, Yong-Uk;Chae, Young-Moon;Cho, Kyoung-Won;Ho, Seung-Hee
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
    • /
    • pp.496-507
    • /
    • 2001
  • An expert system for the diagnosis and indication of hypertension is implemented through HTML-based backward inference. HTML-based backward inference is performed using the hypertext function of HTML, and many HTML files, which are hyperlinked to each other based on the backward rules, should be prepared beforehand. The development and maintenance of the HTML files are conducted automatically using the decision graph. Still, the drawing and input of the decision graph is a time consuming and tedious job if it is done manually. So, automatic generator of the decision graph for the diagnosis and indication of hypertension was implemented. The HTML-based backward inference ensures accessibility, multimedia facilities, fast response, stability, easiness, and platform independency of the expert system. So, this research reveals that HTML-based inference approach can be used for many Web-based intelligent site with fast and stable performance.

  • PDF

OSGi 환경에서 오픈소스를 이용한 HL7 메시지의 교환 방법 (Exchange method of the HL7 message using open source in OSGi)

  • 박영진;조희섭;강원석
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
    • /
    • pp.52-54
    • /
    • 2012
  • 수년 전부터 환자와 병원 간 의료정보 교환의 표준에 관한 연구가 국내외에서 꾸준히 진행되고 있으며, 앞으로도 활발한 연구가 진행되어 많은 산출물들이 도출될 것이다. 현재 대부분의 연구에서는 병원정보시스템(HIS)을 기반으로 병원 내 의료 장비들 간의 메시지 표준화를 위한 것으로 환자와 병원 간 정보 교환을 위해 스마트 기기, Open Service Gateway Initiative(OSGi) 플랫폼 등에서 오픈소스를 이용한 HL7 메시지 교환 시스템을 구성하는 연구는 아직 미비한 실정이다. 본 논문에서는 Open eHealth Integration Platform(IPF)을 이용해 안드로이드와 OSGi 플랫폼에서 환자와 병원 간의 HL7(Health Level Seven) 메시지의 교환, 검증 그리고 모니터링 위한 시스템을 구현하였다.

현수 후두미세수술과 관련된 합병증 (Complications in Microsuspension Laryngoscopy)

  • 손희영;우승훈;김진평
    • 대한후두음성언어의학회지
    • /
    • 제22권1호
    • /
    • pp.23-29
    • /
    • 2011
  • Laryngomicrosurgery is common procedure applying to benign laryngeal lesion. Suspension of the laryngoscope is a vital component of Laryngomicrosurgery. Suspension laryngoscopy allows for bimanual surgery and a stable operating platform. Little information is known about oropharyngeal & vocal fold complications of suspension laryngoscopy. Because laryngomicrosurgery is dependent upon suspension laryngoscopy, surgeons should fully understand the risks of suspension laryngoscopy to properly educate and care for patients undergoing suspension laryngoscopy. That is problem to allow otolaryngologist is embarrassing, for voice restoration surgery are not satisfied with the results. The authors reviewed mechanical and phonological complications after laryngomicrosurgery.

  • PDF

전도 측정을 위한 모바일 로봇 플랫폼 구현 (Mobile robot platform embodiment to measure slippery degree of road)

  • 이동광;공정식;권오상;장문석;강신혁;신운철;김정수;이응혁
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
    • /
    • pp.83-84
    • /
    • 2007
  • 작업자가 작업장에서 전도 등으로 인한 산업 재해를 입지 않도록 하기 위해서는 작업장에서의 전도 상황을 판단하여야 하며, 이러한 전도 상황을 측정할 때 자동화된 전도 측정 장치는 작업장에서의 효율성을 확보하는 동시에, 전도를 측정하는 사람이 측정 과정예서 일어날 수 있는 불상사 등을 예방하여 산업재해를 미연에 방지해서 이를 통한 산업 현장의 안정성 확보를 통한 부대 비용 발생을 방지할 수 있게 된다. 이러한 자동화된 전도 측정을 위한 방편으로써 전도 측정용 로봇의 개발하였다.

  • PDF

Data Mining Approach to Predicting Serial Publication Periods and Mobile Gamification Likelihood for Webtoon Contents

  • Jang, Hyun Seok;Lee, Kun Chang
    • 한국컴퓨터정보학회논문지
    • /
    • 제23권4호
    • /
    • pp.17-24
    • /
    • 2018
  • This paper proposes data mining models relevant to the serial publication periods and mobile gamification likelihood of webtoon contents which were either serialized or completed in platform. The size of the cartoon industry including webtoon takes merely 1% of the total entertainment contents industry in Korea. However, the significance of webtoon business is rapidly growing because its intellectual property can be easily used as an effective OSMU (One Source Multi-Use) vehicle for multiple types of contents such as movie, drama, game, and character-related merchandising. We suggested a set of data mining classifiers that are deemed suitable to provide prediction models for serial publication periods and mobile gamification likelihood for the sake of webtoon contents. As a result, the balanced accuracies are respectively recorded as 85.0% and 59.0%, from the two models.

Wireless sensor network for decentralized damage detection of building structures

  • Park, Jong-Woong;Sim, Sung-Han;Jung, Hyung-Jo
    • Smart Structures and Systems
    • /
    • 제12권3_4호
    • /
    • pp.399-414
    • /
    • 2013
  • The smart sensor technology has opened new horizons for assessing and monitoring structural health of civil infrastructure. Smart sensor's unique features such as onboard computation, wireless communication, and cost effectiveness can enable a dense network of sensors that is essential for accurate assessment of structural health in large-scale civil structures. While most research efforts to date have been focused on realizing wireless smart sensor networks (WSSN) on bridge structures, relatively less attention is paid to applying this technology to buildings. This paper presents a decentralized damage detection using the WSSN for building structures. An existing flexibility-based damage detection method is extended to be used in the decentralized computing environment offered by the WSSN and implemented on MEMSIC's Imote2 smart sensor platform. Numerical simulation and laboratory experiment are conducted to validate the WSSN for decentralized damage detection of building structures.

Long term health monitoring of post-tensioning box girder bridges

  • Wang, Ming L.
    • Smart Structures and Systems
    • /
    • 제4권6호
    • /
    • pp.711-726
    • /
    • 2008
  • A number of efforts had been sought to instrument bridges for the purpose of structural monitoring and assessment. The outcome of these efforts, as gauged by advances in the understanding of the definition of structural damage and their role in sensor selection as well as in the design of cost and data-effective monitoring systems, has itself been difficult to assess. The authors' experience with the design, calibration, and operation of a monitoring system for the Kishwaukee Bridge in Illinois has provided several lessons that bear upon these concerns. The systems have performed well in providing a continuous, low-cost monitoring platform for bridge engineers with immediate relevant information.

국내 구강위생용품 시장의 일부 허위·과장광고 실태 보고 (Report on cases of misleading advertisements in the Korean oral hygiene products market)

  • 전세정
    • 한국치위생학회지
    • /
    • 제21권3호
    • /
    • pp.203-209
    • /
    • 2021
  • The purpose of this study was to investigate the status of exaggerated advertisements in the Korean oral hygiene product market and to urge dental hygienists to play the role of experts. The exaggerated advertisements on the largest online shopping platform in Korea were investigated. Searches were performed with keywords related to oral hygiene, such as "bad breath" and "tartar", and product names of 1,000 products listed at the top were investigated to select the suspicious ones. The situation was found to be grave; for example, a mouthwash capable of preventing coronavirus disease, which lacks scientific evidence, and a self-tartar remover that did not guarantee safety or performance were being sold. Strict government supervision is required, and dental hygienists must be urged to play an active role as oral health experts.

Theoretical and experimental investigation of piezoresistivity of brass fiber reinforced concrete

  • Mugisha, Aurore;Teomete, Egemen
    • Computers and Concrete
    • /
    • 제23권6호
    • /
    • pp.399-408
    • /
    • 2019
  • Structural health monitoring is important for the safety of lives and asset management. In this study, numerical models were developed for the piezoresistive behavior of smart concrete based on finite element (FE) method. Finite element models were calibrated with experimental data collected from compression test. The compression test was performed on smart concrete cube specimens with 75 mm dimensions. Smart concrete was made of cement CEM II 42.5 R, silica fume, fine and coarse crushed limestone aggregates, brass fibers and plasticizer. During the compression test, electrical resistance change and compressive strain measurements were conducted simultaneously. Smart concrete had a strong linear relationship between strain and electrical resistance change due to its piezoresistive function. The piezoresistivity of the smart concrete was modeled by FE method. Twenty-noded solid brick elements were used to model the smart concrete specimens in the finite element platform of Ansys. The numerical results were determined for strain induced resistivity change. The electrical resistivity of simulated smart concrete decreased with applied strain, as found in experimental investigation. The numerical findings are in good agreement with the experimental results.

Hybrid Fraud Detection Model: Detecting Fraudulent Information in the Healthcare Crowdfunding

  • Choi, Jaewon;Kim, Jaehyoun;Lee, Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제16권3호
    • /
    • pp.1006-1027
    • /
    • 2022
  • In the crowdfunding market, various crowdfunding platforms can offer founders the possibilities to collect funding and launch someone's next campaign, project or events. Especially, healthcare crowdfunding is a field that is growing rapidly on health-related problems based on online platforms. One of the largest platforms, GoFundMe, has raised US$ 5 billion since 2010. Unfortunately, while providing crucial help to care for many people, it is also increasing risk of fraud. Using the largest platform of crowdfunding market, GoFundMe, we conduct an exhaustive search of detection on fraud from October 2016 to September 2019. Data sets are based on 6 main types of medical focused crowdfunding campaigns or events, such as cancer, in vitro fertilization (IVF), leukemia, health insurance, lymphoma and, surgery type. This study evaluated a detect of fraud process to identify fraud from non-fraud healthcare crowdfunding campaigns using various machine learning technics.