• International Journal of Computer Science & Network Security
• /
• 제21권3호
• /
• pp.83-93
• /
• 2021

COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment; consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID-19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EIS-SDT model has outperformed the existing methods considerably.

• 한국인공지능학회지
• /
• 제11권3호
• /
• pp.29-34
• /
• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2021년도 추계학술발표대회
• /
• pp.655-658
• /
• 2021

The purpose of multimodal medical image fusion (MMIF) is to integrate images of different modes with different details into a result image with rich information, which is convenient for doctors to accurately diagnose and treat the diseased tissues of patients. Encouraged by this purpose, this paper proposes a novel method based on a two-scale decomposer and detail preservation model. The first step is to use the two-scale decomposer to decompose the source image into the energy layers and structure layers, which have the characteristic of detail preservation. And then, structure tensor operator and max-abs are combined to fuse the structure layers. The detail preservation model is proposed for the fusion of the energy layers, which greatly improves the image performance. The fused image is achieved by summing up the two fused sub-images obtained by the above fusion rules. Experiments demonstrate that the proposed method has superior performance compared with the state-of-the-art fusion methods.

• Korean journal of medical education
• /
• 제30권4호
• /
• pp.283-294
• /
• 2018

Since medical education programs in Korea and Japan seem to mutually influence each other, this review article provides a history of Japanese medical education, focusing on the way in which it influenced and was influenced by Korean medical education. In the late 19th century, the University of Tokyo established the core medical school, disseminating its scholarship and system to other medical schools. In the early 20th century, the balance between the quality and quantity of medical education became a new issue; in response, Japan developed different levels of medical school, ranging from imperial universities to medical colleges and medical vocational schools. After World War II, all of Japan's medical schools became part of the university system, which was heavily regulated by the Ministry of Education (MOE) Standard for the Establishment of Universities. In 1991, MOE deregulated the Standard; since 2000, several new systems have been established to regulate medical schools. These new approaches have included the Model Core Curriculum, 2-year mandatory postgraduate training, and a medical education accreditation system. Currently, most medical schools are nervous, as a result of tighter regulatory systems that include an accreditation system for undergraduate education and a specialty training system for postgraduate education.

• 한국수정란이식학회:학술대회논문집
• /
• 한국수정란이식학회 2003년도 제3회 발생공학 국제심포지움 및 학술대회
• /
• pp.101-101
• /
• 2003

• 한국IT서비스학회지
• /
• 제9권4호
• /
• pp.57-70
• /
• 2010

Nowadays, medical services can be performed through online. This entails a lot of human resources and different healthcare information. The rapid changes in the healthcare environment through web should be accounted so that the information would be maximally useful. However, medical information acquired online is not regulated; it is not favorable to users because it creates doubts to its reliability and benefits. This study focuses on the online medical information. It gives help to the users through its accessibility" comprehensiveness, continuity and efficiency. An empirical analysis of research model using PLS(partial least squares) shows that the quality of medical information influences the reliability and benefit of the related medical information. If users recognize medical information to be reliable and beneficial, their intention to use the medical information becomes strong.

• 한국대기환경학회지
• /
• 제28권5호
• /
• pp.571-580
• /
• 2012

Epidemiologic studies of air pollution need accurate exposure assessments at unmonitored locations. A land use regression (LUR) model has been used successfully for predicting traffic-related pollutants, although its application has been limited to Europe, North America, and a few Asian region. Therefore, we modeled traffic-related pollutants by LUR then examined whether LUR models could be constructed using a regulatory monitoring network in Metropolitan area in Korea. We used the annual-mean nitrogen dioxide ($NO_2$) in 2010 in the study area. Geographic variables that are considered to predict traffic-related pollutants were classified into four groups: road type, traffic intensity, land use, and elevation. Using geographical variables, we then constructed a model to predict the monitored levels of $NO_2$. The mean concentration of $NO_2$ was 30.71 ppb (standard deviation of 5.95) respectively. The final regression model for the $NO_2$ concentration included five independent variables. The LUR models resulted in $R^2$ of 0.59. The mean concentration of $NO_2$ of elementary schools was 34.04 ppb (standard deviation of 5.22) respectively. The present study showed that even if we used regulatory monitoring air quality data, we could estimate $NO_2$ moderately well. These analyses confirm the validity of land use regression modeling to assign exposures in epidemiological studies, and these models may be useful tools for assessing health effects of long-term exposure to traffic related pollution.

• 한국수정란이식학회:학술대회논문집
• /
• 한국수정란이식학회 2002년도 국제심포지엄
• /
• pp.95-95
• /
• 2002

Human embryonic stem (hES) cells can be induced to differentiate into tyrosine hydroxylase expressing (TH+) cells that may serve as an alternative for cell replacement therapy for Parkinson's disease (PD). To examine in vitro differentiation of hES (MB03, registered in NIH) cells into TH+ cells, hES cells were induced to differentiate according to the 4-/4+ protocol using retinoic acid (RA), ascorbic acid (AA), and/or lithium chloride (LiCl) followed by culture in N2 medium for 14 days, during which time the differentiation occurs. Immunocytochemical stainings of the cells revealed that approximately 21.1% of cells treated with RA plus AA expressed TH protein that is higher than the ratio of TH+ cells seen in any other treatment groups (RA, RA+LiCl or RA+AA+LiCl). In order to see the differentiation pattern in vivo and the ability of in vitro differentiation-induced cells in easing symptomatic motor function of PD animal model, cells (2 $\times$ 10$^{5}$ cells/2${mu}ell$) undergone 4-/4+ protocol using RA plus AA without any further treatment were transplanted into unilateral striatum of MPTP-lesioned PD animal model (C57BL/6). Following the surgery, motor behavior of the animals was examined by measuring the retention time on an accelerating rotar-rod far next 10 weeks. No significant differences in retention time of the animals were noticed until 2 weeks post-graft; however, it increased markedly at 6 weeks and 10 weeks time point after the surgery. Immunohistochemical studies confirmed that a reasonable number of TH+ cells were found at the graft site as well as other remote sites, showing the migrating nature of embryonic stem cells. These results suggest that in viかo differentiated hES cells relieve symptomatic motor behavior of PD animal model and should be considered as a promising alternative for the treatment of PD.

• 한국산학기술학회논문지
• /
• 제19권6호
• /
• pp.382-390
• /
• 2018

본 연구에서는 국제기준 및 산업환경 변화에 따른 의료기기 품질경영 평가모델, 즉 의료기기 제조기업의 품질경영시스템의 인허가와 상시점검에 필요한 평가기준의 구성요소를 도출하고, 이를 평가도구로 의료기기 제조기업에 적용하여 실행수준의 평가 및 경영성과에 미치는 영향을 검증하였다. 본 연구에서는 선행연구 검토, 전문가 면담조사에 따라 예비항목을 마련하고, 기획, 실시, 점검, 조치 등 4개 영역의 요인으로 대분류 항목을 정의한 후, 각각의 평가계층과 평가항목을 구성하였으며, AHP에 의한 가중치와 중요도를 산출하였다. 그 결과, 기획 요인에서는 책임의 명확화와 품질관리 목표설정의 항목, 실시 요인에서는 개별제품을 중심으로 한 요구사항의 관리 및 설계 개발 프로세스의 관리에 관한 평가항목, 점검 요인에서는 정보의 측정 분석에 대한 관리항목, 조치 요인에서는 인증기준 및 법규, 규제에 대한 검토항목이 상대적으로 중요하게 나타났다. 이에 도출된 평가모델을 평가도구로 삼아 의료기기 제조기업에 적용함으로써, 품질경영 실행수준의 평가와 경영성과에 미치는 영향을 조사 분석하였다. 연구대상 의료기기 제조기업들은 비교적 양호한 수준의 품질경영 실행수준을 보이고 있고, 이를 통해 일정수준의 경영성과를 얻고 있는 것으로 나타났다. 또한, 각 요인과 평가계층들이 대부분 경영성과에 유의한 영향을 미치는 것으로 분석되었다. 특히 의료기기 품질경영시스템은 인허가 취득이 주목적이지만, 인허가와 직접적인 관련이 없는 경영환경적 요소들이 중요하며, 기업 내 외부에서 이러한 요소들이 연계성을 갖고 통합적으로 운영되는 것이 효과적이라는 점을 알 수 있었다.

• 한국의학물리학회지:의학물리
• /
• 제1권1호
• /
• pp.75-84
• /
• 1990

We have claculated the absorbed dose distributions in water phantom irradiated by high energy photon beam. PDD (Percent Depth Dose) and Beam Profile can be represented by functions of depths and distances by using one dimensional model model based on transport theory. The parameters on scattering and absorption are evaluated by using non-linear regression process method. The values neeessary for calculation are obtained by simple experiment. The calculated values are in good agreement with the measured values.