• Title/Summary/Keyword: Disease patterns

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CDSS: Integration of Social Interaction and Smart Space for Chronic Disease Patients (CDSS : 만성질환 환자들을 위한 사회적 상호작용과 지능 공간의 통합)

  • Fatima, Iram;Fahim, Muhammad;Lee, Young-Koo;Lee, Sung-Young
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.114-115
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    • 2011
  • Chronic disease may leads to other life threatening health complications like heart disease, stroke, diabetes and peripheral vascular disease that diminished quality of life. This paper points out the importance of social interaction and smart space integration in existing CDSS for chronic diseases. Social interaction allows the patients to interact with system, through this continuous learning and digesting patient experience, our CDSS becomes intelligent and dynamically enhanced. Smart spaces automatically provide new knowledge and construct the behavioral profile by monitoring the daily life activities. Through these features, patients can get continuous relevant recommendations from the system, so they can get a chance to improve their health condition which in terms keeping on their quality of life. It also helps the health practitioners in better decision making about medication and living patterns.

Meningococcal Disease and Quadrivalent MenACWY-CRM Vaccine (Menveo®)

  • Tsai, Theodore F.
    • Pediatric Infection and Vaccine
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    • v.19 no.3
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    • pp.89-110
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    • 2012
  • Meningococcal Disease, manifesting as meningitis and septicemia, is a life-threatening bacterial infection that results in significant morbidity and mortality, particularly in childhood. Its epidemic potential and limited opportunities for clinical intervention due to its rapid course present unique public health and clinical challenges. Incidence is highest in infants and young children, with a secondary peak of risk in adolescents. Approximately 10% of cases are fatal and survivors can be left with serious and permanent sequelae including amputations, hearing loss and cognitive impairment. Transmission is only from human-to-human, by infected respiratory tract secretions or saliva and therefore crowding poses a tremendously elevated risk for disease development. Military recruits and university students are at high risk due to the high carriage rate in adolescents, their behavior patterns and close contact. Menveo$^{(R)}$ (Novartis Vaccines and Diagnostics), a novel quadrivalent meningococcal conjugate vaccine directed against meningococcal serogroups A, C, W-135 and Y, has been shown to be immunogenic and well tolerated in all age groups and was recently licensed for use in Korea. Recent cases and deaths among military recruits drew public attention to their elevated risk and the Korean government has recommended vaccination of all new military recruits. Many Korean students seek to attend school, university, or language institutes in countries where routine meningococcal vaccination is required - clinicians should be aware of such requirements to ensure that students are vaccinated prior to arrival in the destination country.

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A Comparative Study of Alzheimer's Disease Classification using Multiple Transfer Learning Models

  • Prakash, Deekshitha;Madusanka, Nuwan;Bhattacharjee, Subrata;Park, Hyeon-Gyun;Kim, Cho-Hee;Choi, Heung-Kook
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.209-216
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    • 2019
  • Over the past decade, researchers were able to solve complex medical problems as well as acquire deeper understanding of entire issue due to the availability of machine learning techniques, particularly predictive algorithms and automatic recognition of patterns in medical imaging. In this study, a technique called transfer learning has been utilized to classify Magnetic Resonance (MR) images by a pre-trained Convolutional Neural Network (CNN). Rather than training an entire model from scratch, transfer learning approach uses the CNN model by fine-tuning them, to classify MR images into Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal control (NC). The performance of this method has been evaluated over Alzheimer's Disease Neuroimaging (ADNI) dataset by changing the learning rate of the model. Moreover, in this study, in order to demonstrate the transfer learning approach we utilize different pre-trained deep learning models such as GoogLeNet, VGG-16, AlexNet and ResNet-18, and compare their efficiency to classify AD. The overall classification accuracy resulted by GoogLeNet for training and testing was 99.84% and 98.25% respectively, which was exceptionally more than other models training and testing accuracies.

Developing an Biomechanical Functional Performance Index for Parkinson's Disease Patients (한국형 파킨슨 환자의 역학적 기능수행지수 개발)

  • Shin, Sunghoon;Han, Byungin;Chung, Chulmin;Lee, Yungon
    • Korean Journal of Applied Biomechanics
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    • v.30 no.1
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    • pp.83-91
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    • 2020
  • Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

Anthracnose of Strawberry in Korea (국내에 발생하는 딸기 탄저병)

  • 김홍기;남명현
    • Plant Disease and Agriculture
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    • v.5 no.1
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    • pp.8-13
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    • 1999
  • Twenty two different disease on strawberry have been reported in Korea. Their occurrence patterns were depended on the varieties cultivated. Fusarium wilt occurred seriously on var. Hokowase, a variety used for the fields or semi-forcing culture. In recent years, however, anthracnose occurred remarkably as the acreage of forcing culture increases. Consequently, anthracnose reduced the stand rate and yield of the strawberry. Average occurrence rate of anthracnose was 36.9% on major strawberry cropping areas. Nyoho and Akihime, which are popular varieties for the forcing culture, are considered to be susceptible, but Holiwase and Suhong are resistant against this disease. Colletotrichum gloeosporioides and Glomerella cingulata have been reported as casual agents for this disease in Korea. C. gloeosporoides was recently reported, but C. fragariae, known to be a strong pathogen in foreign countries, has bot been found yet in Korea. These two fungal pathogens showed significant differences in some characteristics such as major infection parts of plant and responses to temperatures as well as benomyl resistance. In addition, C. gloeosporioides is more pathogenic than G. cingulata. Because vinly sheltering is effective for control of anthracnose to protect water disposal of the pathogen during the seedling stages, it is strongly recommend to use this method in conjunction with integrated control programs.

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A Clinical Analysis of Out-Patient with Skin Disease (한방안이비인후피부과에 내원한 피부질환 환자의 임상적 고찰)

  • Jung, A-Rum-Nu-Ri;Hong, Seung-Ug
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.20 no.2 s.33
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    • pp.151-160
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    • 2007
  • Objective : This study was performed to examine the patterns of skin disease in patients that had visited Dept. of Dermatology Hospital of Oriental Medicine, Dongguk University. We also compared on disease, age and treatment. Methods : We analysed statistic study in 505 patients, who had visited to our hospital from July, 2005 to February, 2007. Results : The results were as follows; 1. Distribution of dermatology classification was 40.6%, males were 41 % and females were 59%. 2. Distribution of aging was 18.2% in 0-9 years old and 18.8% in 10-19 years old and 17.4% in 20-29 years old. 3. Common disease group were Atopic dermatitis (24.55%); Acne (10.89%); Eczema (10.89%); Urticaria (10.30%). 4. Distribution of treatment according to diagnosis were external preparation in atopic dermatitis, acne, eczema, dermatitis seborrheica ; herbal-medication in urticaria ; herbal-medication and external preparation in facial redness. 5. Distribution of treatment according to aging were external preparation in all group except 50-59 years old; acupuncture treatment in 20-29 years old; herbal-medication in 10-19 years old; consultation in 70-79 years old. Conclusion : This study suggests that oriental medical treatments is popular in dermatologic diseases, especially atopic dermatitis and acne. We have to take steps for effective management and treatment for special diseases and ages.

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The Meaning of Illness among Korean Americans with Chronic Hepatitis B (미주 한인 만성 B형 간염 환자의 질병의 의미)

  • Yang, Jin-Hyang;Lee, Hae-Ok;Cho, Myung-Ok
    • Journal of Korean Academy of Nursing
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    • v.40 no.5
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    • pp.662-675
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    • 2010
  • Purpose: This ethnography was done to explore the meaning of illness in Korean Americans with chronic hepatitis B. Methods: The participants were 6 patients with chronic hepatitis B and 6 general informants who could provide relevant data. Data were collected from iterative fieldwork with ethnographic interviews within Korean communities in two cities in the United States. Data were analyzed using causal chain analysis developed by Wolcott. Results: The analyses revealed three meanings for the illness: hidden disease, intentionally hidden disease, and inevitably hidden disease. The contexts of meaning of illness included characteristics of the illness, social stigma, structure of health care system and communication patterns and discourse between health care providers and clients. Conclusion: The meaning of illness was based on folk illness concepts and constructed in the sociocultural context. Folk etiology, pathology and interpretation of one's symptoms were factors influencing illness behavior. These findings could be a cornerstone for culture specific care for Korean Americans with chronic hepatitis B.

Environmental Factors Influencing on the Occurrence of Pine Wilt Disease in Korea (우리나라에서 소나무재선충병 초기 발생지의 환경 특성 분석)

  • Lee, Dae-Seong;Nam, Youngwoo;Choi, Won Il;Park, Young-Seuk
    • Korean Journal of Ecology and Environment
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    • v.50 no.4
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    • pp.374-380
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    • 2017
  • Pine wilt disease (PWD) is one of the hazardous pine tree diseases in whole world. In Korea, PWD has been spreading since it was first observed in Busan in 1988. Dispersion of PWD is mainly mediated by its vectors such as Japanese pine sawyer. In this study, we characterized environmental condition including meteorological factors, geographical factors, and land use factors influencing on the occurrence of PWD. The occurrence data of PWD were collected at 153 sites where were the initial occurrence sites of PWD in local government regions such as city, Gun, or Gu scale. We used Akaike Information Criterion (AIC) to evaluate the relative importance of environmental variables on the discrimination of occurrence or absence of PWD. The results showed that altitude, slope, and distance to road were the most influential factors on the occurrence of PWD, followed by distance to building. Finally, our study presented that human activities highly influenced on the long term dispersal of PWD.

Neofusicoccum ribis Associated with Leaf Blight on Rubber (Hevea brasiliensis) in Peninsular Malaysia

  • Nyaka Ngobisa, A.I.C.;Zainal Abidin, M.A.;Wong, M.Y.;Wan Noordin, M.W.D.
    • The Plant Pathology Journal
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    • v.29 no.1
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    • pp.10-16
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    • 2013
  • Hevea brasiliensis is a natural source of rubber and an important plantation tree species in Malaysia. Leaf blight disease caused by Fusicoccum substantially reduces the growth and performance of H. brasiliensis. The aim of this study was to use a combination of both morphological characteristics and molecular data to clarify the taxonomic position of the fungus associated with leaf blight disease. Fusicoccum species were isolated from infected leaves collected from plantations at 3 widely separated locations - Selangor, Perak, and Johor states - in Peninsular Malaysia in 2010. All the isolates were identified according to their conidial patterns and DNA sequences generated from internal transcribed spacers (ITS1 and ITS2), the 5.8S rRNA, and an unknown locus (BotF15) containing microsatellite repeats. Based on taxonomic and sequence data, Neofusicoccum ribis was identified as the main cause of leaf blight disease in H. brasiliensis in commercial plantations in Malaysia. A pathogenicity trial on detached leaves further confirmed that N. ribis causes leaf blight disease. N. ribis is an important leaf pathogen, and its detection in Malaysia has important implications for future planting of H. brasiliensis.

Retrospective Drugs Utilization Review Study for Chronic Kidney Disease Using National Health Insurance Database (건강보험 자료를 이용한 만성신부전 환자의 신독성 약물사용 현황)

  • Kim, Dong-Sook;Lee, Hyun-Jeong;Son, In-Ja;Kim, Gui-Sook;Shin, Joo-Young;Lee, Kun-Sei
    • YAKHAK HOEJI
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    • v.53 no.3
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    • pp.138-144
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    • 2009
  • The purpose was to implement drug utilization review (DUR) for whom were diagnosed with chronic kidney disease (CKD) population using health insurance claim data. This study constructed drug utilization database using Health Insurance Review and Assessment Service (HIRA) database and selected contraindicated drugs with kidney based on previously developed drug utilization guide and reviewing other countries' examples. Main outcome measures were the proportion of prescription for 1 or more drugs of concern. The cohort included 115,948 subjects, who were diagnosed with chronic kidney disease. Inappropriate drugs with CKD patients was some used, and the most commonly prescribed classes were aluminum drugs. However it is difficult to find problems with inappropriate drug because claims data doesn't have laboratory data. Based on the result of retrospective drug utilization review study, more studies should be analysed drug utilization patterns and monitoring system should be developed.