• Healthcare Informatics Research
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• 제24권4호
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• pp.300-308
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• 2018

Objectives: Prompt detection is a cornerstone in the control and prevention of infectious diseases. The Integrated Disease Surveillance Project of India identifies outbreaks, but it does not exactly predict outbreaks. This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction of outbreaks or epidemics. Methods: The Google search queries related to malaria, dengue fever, chikungunya, and enteric fever for Chandigarh union territory and Haryana state of India in 2016 were extracted and compared with presumptive form data of the IDSP. Spearman correlation and scatter plots were used to depict the statistical relationship between the two datasets. Time trend plots were constructed to assess the correlation between Google search trends and disease notification under the IDSP. Results: Temporal correlation was observed between the IDSP reporting and Google search trends. Time series analysis of the Google Trends showed strong correlation with the IDSP data with a lag of -2 to -3 weeks for chikungunya and dengue fever in Chandigarh (r > 0.80) and Haryana (r > 0.70). Malaria and enteric fever showed a lag period of -2 to -3 weeks with moderate correlation. Conclusions: Similar results were obtained when applying the results of previous studies to specific diseases, and it is considered that many other diseases should be studied at the national and sub-national levels.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.815-817
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• 2014

의료 기술의 급속한 발달과 질병의 예방 및 관리에 대한 사용자의 요구사항이 증가하고 있어 모든 의료 서비스가 사용자 중심으로 전환되고 있다. 이에 사용자의 의료 정보를 통합하려는 시도와 연구는 많이 되어 지고 있으나 각 의료기관에서 의료 정보 통합 시스템으로 의료 정보 이동시 많은 이해 문제와 인증 문제로 인해 사용자 중심의 의료 서비스에 많은 어려움이 있다. 따라서 본 논문에서는 의료정보의 주체인 사용자가 중심이 되어 사용자가 원하는 의료기관의 의료정보를 각 의료기관에서 제공하는 형식의 변화 없이 그대로 사용자 모바일 기기를 이용하여 직접 의료 정보 통합 시스템에 의료 정보를 제공함으로써 모든 의료 서비스를 실시간으로 처리 및 제공할 수 있는 사용자 중심의 의료 정보 통합시스템을 제안하려 한다.

• 융합정보논문지
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• 제9권9호
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• pp.117-125
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• 2019

본 연구는 초등학교 보건교사를 대상으로 이미 개발된 직무분석의 측정도구에 대한 구성타당도와 신뢰도를 확인하기 위한 연구이다. 초등학교 보건교사 305명을 대상으로 50문항으로 구성된 직무분석 설문지를 사용하여 확인적 요인분석을 통해 이미 개발된 도구의 구성타당도와 신뢰도를 재검증하였다. 총 50문항은 8개의 하위척도로 구성되었으며, 4개의 요인구조를 가지고 있었다. 4개의 요인구조는 설문 기준에 따라 중요도, 수행빈도, 난이도로 분류되었으나, 중요도는 건강증진에 대한 중요도가 하나의 새로운 항목 요인으로 분류되었다. 모델의 적합도는 ${\chi}^2$ 검정결과 통계량은 3.664 (df=246, p<0.001), RMSEA=0.09, NFI=0.85, CFI=0.88로 나타났다. 하위척도의 내적일치도 Cronbach's ${\alpha}$는 0.88~0.96이었다. 본 연구를 통해 초등학교 보건교사의 직무분석 도구는 측정 도구로 타당하고 신뢰성 있는 도구임을 확인하였다.

• 대한치과의사협회지
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• 제57권1호
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• pp.8-17
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• 2018

Purpose : The purpose of this study was to survey the present status of the regional oral health centers for the disabled. Material and methods : Face to face interviews with oral healthcare professionals in eight regional oral health centers and literature reviews were conducted among eight regional oral health centers for the disabled during 2, July to 30, August 2017. Results : It is necessary to establish more regional oral health centers for the disabled in area where the number of disabled person as percentage of whole region population is high. Also, all the centers appeared a lack of professional manpower including dentist, dental hygienist and anesthesiologist, equipment and facilities for the demands of patients and their guardians. It is essential for the government to improve the support system to regional oral health centers for the disabled. Conclusions : This study can be used as a reference for the countermeasure to make a new policy and activate the accessibility of dental care services in the public for the disabled.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.267-275
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• 2021

Smart application is developed in this paper by using an android-based platform to automatically determine the human emergency state (Lifesaver) by using different technology sensors of the mobile. In practice, this Lifesaver has many applications, and it can be easily combined with other applications as well to determine the emergency of humans. For example, if an old human falls due to some medical reasons, then this application is automatically determining the human state and then calls a person from this emergency contact list. Moreover, if the car accidentally crashes due to an accident, then the Lifesaver application is also helping to call a person who is on the emergency contact list to save human life. Therefore, the main objective of this project is to develop an application that can save human life. As a result, the proposed Lifesaver application is utilized to assist the person to get immediate attention in case of absence of help in four different situations. To develop the Lifesaver system, the GPS is also integrated to get the exact location of a human in case of emergency. Moreover, the emergency list of friends and authorities is also maintained to develop this application. To test and evaluate the Lifesaver system, the 50 different human data are collected with different age groups in the range of (40-70) and the performance of the Lifesaver application is also evaluated and compared with other state-of-the-art applications. On average, the Lifesaver system is achieved 95.5% detection accuracy and the value of 91.5 based on emergency index metric, which is outperformed compared to other applications in this domain.

• 한국폐기물자원순환학회지
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• 제35권7호
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• pp.653-659
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• 2018

In the industrial wastewater that occupies a large proportion of river pollution, the wastewater generated in textile, leather, and plating industries is hardly decomposable. Though dyeing wastewater has generally been treated using chemical and biological methods, its characteristics cause treatment efficiencies such as chemical oxygen demand (COD) and suspended solids (SS) to be reduced only in the activated sludge method. Currently, advanced oxidation technology for the treatment of dyeing wastewater is being developed worldwide. Electro-coagulation is highly adapted to industrial wastewater treatment because it has a high removal efficiency and a short processing time regardless of the biodegradable nature of the contaminant. In this study, the effects of the current density and the electrolyte condition on the COD removal efficiency in dyeing wastewater treatment by using electro-coagulation were tested with an aluminum anode and a stainless steel cathode. The results are as follows: (1) When the current density was adjusted to $20A/m^2$, $40A/m^2$, and $60A/m^2$ under the condition without electrolyte, the COD removal efficiency at 60 min was 62.3%, 72.3%, and 81.0%, respectively. (2) The removal efficiency with NaCl addition was 7.9% higher on average than that with non-addition at all current densities. (3) The removal efficiency with $Na_2SO_4$ addition was 4.7% higher on average than that with non-addition at all current densities.

• 구강회복응용과학지
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• 제36권4호
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• pp.203-210
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• 2020

현대사회는 4차 산업혁명 시대를 맞아 정보통신기술의 발달로 환자 개인 맞춤 의료서비스가 확대되고있다. 이러한 변화에 따라 질병의 진단, 환자 감시, 의사결정 지원에 디지털 의료기기가 활용되기 시작했으며 최근엔 장애나 질병예방, 관리 또는 치료하기 위한 목적의 소프트웨어 의료기기가 각광받고 있다. 본 종설은 현재 미국을 중심으로 활발하게 이뤄지고 있는 치료 목적의 소프트웨어에 대한 개념과 현황을 파악하고 앞으로 어떤 분야에서 적용될 수 있는지 알아보고자 한다. 또, 스마트 헬스케어와 관련된 국내 정책 동향을 파악해 다가올 의료계의 변화에 발맞춰 치과 임상에서 가능한 디지털기반 소프트웨어 의료기기의 적용에 대해 알아보고자 한다.

• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.655-661
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• 2021

Positron emission tomography (PET) images is affected by acquisition time, short acquisition times results in low gamma counts leading to degradation of image quality by statistical noise. Noise2Void(N2V) is self supervised denoising model that is convolutional neural network (CNN) based deep learning. The purpose of this study is to evaluate denoising performance of N2V for PET image with a short acquisition time. The phantom was scanned as a list mode for 10 min using Biograph mCT40 of PET/CT (Siemens Healthcare, Erlangen, Germany). We compared PET images using NEMA image-quality phantom for standard acquisition time (10 min), short acquisition time (2min) and simulated PET image (S2 min). To evaluate performance of N2V, the peak signal to noise ratio (PSNR), normalized root mean square error (NRMSE), structural similarity index (SSIM) and radio-activity recovery coefficient (RC) were used. The PSNR, NRMSE and SSIM for 2 min and S2 min PET images compared to 10min PET image were 30.983, 33.936, 9.954, 7.609 and 0.916, 0.934 respectively. The RC for spheres with S2 min PET image also met European Association of Nuclear Medicine Research Ltd. (EARL) FDG PET accreditation program. We confirmed generated S2 min PET image from N2V deep learning showed improvement results compared to 2 min PET image and The PET images on visual analysis were also comparable between 10 min and S2 min PET images. In conclusion, noisy PET image by means of short acquisition time using N2V denoising network model can be improved image quality without underestimation of radioactivity.

• Journal of Microbiology and Biotechnology
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• 제31권12호
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• pp.1716-1721
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• 2021

Chikungunya fever is an arboviral disease caused by the Chikungunya virus (CHIKV). The disease has similar clinical manifestations with other acute febrile illnesses which complicates differential diagnosis in low-resource settings. We aimed to develop a rapid test for CHIKV detection based on the nucleic acid lateral flow immunoassay technology. The system consists of a primer set that recognizes the E1 region of the CHIKV genome and test strips in an enclosed cassette which are used to detect amplicons labeled with FITC/biotin. Amplification of the viral genome was done using open-source PCR, a low-cost open-source thermal cycler. Assay performance was evaluated using a panel of RNA isolated from patients' blood with confirmed CHIKV (n = 8) and dengue virus (n = 20) infection. The open-source PCR-NALFIA platform had a limit of detection of 10 RNA copies/ml. The assay had a sensitivity and specificity of 100% (95% CI: 67.56% - 100%) and 100% (95% CI: 83.89% - 100%), respectively, compared to reference standards of any positive virus culture on C6/36 cell lines and/or qRT-PCR. Further evaluation of its performance using a larger sample size may provide important data to extend its usefulness, especially its utilization in the peripheral healthcare facilities with scarce resources and outbreak situations.

• Journal of Platform Technology
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• 제10권1호
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• pp.29-34
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• 2022

21세기 들어 발생하는 Covid 19 팬더믹과 같은 새로운 질병의 발현과 바쁜 현대인의 일상에 따른 건강 이상신호가 발생하는 일이 많아지고 있다. 이에 따라 헬스케어 관리 및 데이터를 기반으로 한 건강관리의 중요성이 부각되고 있으며, 특히 환자 개인의 헬스케어 데이터 기반의 개인건강 관리 데이터에 대한 관심이 급증하고 있다. 본 연구에서는 개인 건강 관리의 어려운 문제를 해결하기 위한 자가 건강진단 및 해결을 위한 IT를 접목한 개인건강 헬스케어 플랫폼 개발과 인체에서 발생하는 생체신호를 측정하여 플랫폼으로 전달하는 앱 개발을 통하여 개인 맞춤형 건강관리 시스템을 구축하였다. 이를 통해 현대인의 건강관리 뿐만 아니라, 발달장애인 및 의사표현이 어려운 취약계층의 심리정서 모니터링을 통한 심리정서 케어 지원 니즈를 해결하고자 한다. 또한 개인의 건강 및 생활환경 데이터 전반을 통합하여 개인에게 최적화된 의료 및 건강관리 서비스를 개발하는데 목표를 두고 진행하였다.