• 식물병연구
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• 제24권2호
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• pp.138-144
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• 2018

In December 2016, stem rot symptoms were observed on Persian buttercup (Ranunculus asiaticus) plants in Chilgok, Gyeongbuk, Korea. In the early stage of the disease, several black spots appeared on the stem of infected plants. As the disease progressed, the infected stem cleaved and wilted. The causal agent was isolated from a lesion and incubated on Reasoner's 2A (R2A) agar at $25^{\circ}C$. Total genomic DNA was extracted for phylogenetic analysis. Based on the 16S rRNA gene analysis, the isolated strain was found to belong to the genus Pseudomonas. To identify the isolated bacterial strain at the species level, the nucleotide sequences of the gyrase B (gyrB) and RNA polymerase D (rpoD) genes were obtained and compared with the sequences in the GenBank database. As the result, the causal agent of the stem rot disease was identified as Pseudomonas marginalis. To determine the pathogenicity of the isolated bacterial strain, it was inoculated into the stem of healthy R. asiaticus plant, the inoculated plant showed a lesion with the same characteristics as the naturally infected plant. Based on these results, this is the first report of bacterial stem rot on R. asiaticus caused by P. marginalis in Korea.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.178-190
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• 2021

Alzheimer's disease (AD) is an insidious and degenerative neurological disease. It is a new topic for AD patients to use magnetic resonance imaging (MRI) and computer technology and is gradually explored at present. Preprocessing and correlation analysis on MRI data are firstly made in this paper. Then kernel principal component analysis (KPCA) is used to extract features of brain gray matter images. Finally supervised classification schemes such as AdaBoost algorithm and support vector machine algorithm are used to classify the above features. Experimental results by means of AD program Alzheimer's Disease Neuroimaging Initiative (ADNI) database which contains brain structural MRI (sMRI) of 116 AD patients, 116 patients with mild cognitive impairment, and 117 normal controls show that the proposed method can effectively assist the diagnosis and analysis of AD. Compared with principal component analysis (PCA) method, all classification results on KPCA are improved by 2%-6% among which the best result can reach 84%. It indicates that KPCA algorithm for feature extraction is more abundant and complete than PCA.

• Journal of Chest Surgery
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• 제35권3호
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• pp.209-216
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• 2002

배경: 심장 판막증은 국내에서 아직까지 가장 많은 유병률을 보이는 중요 심장질환이다. 1958년 이후 1999년까지 한국에서는 총 94,586례의 개심술이 시행되었으며 그중 36,247례가 성인심장질환이었고 그중 20,704례는 판막질환이었다. 그러나 제대로 된 데이터베이스가 구축되어 있지 않아 많은 자료들을 효과적으로 활용하지 못하고 있어 저자들은 판막레지스트리를 확립하고 활용할 수 있는 시스템을 구축하고자 하였다. 대상 및 방법: 마이크로소프트 악세스를 이용하여 데이터베이스 프로그램을 개발하였다. 이는 관계형 구조를 갖는 비교적 작고 간결한 프로그램으로 그 사용자환경이 쉽고 효율적으로 구성되어 있으며 각종 질의와 보고서 기능 등을 이용하여 사용자가 원하는 자료를 쉽고 빠르게 추출해 낼 수 있는 장점이 있다. 결과: 서울대학교병원 흉부외과에서는 1968년부터 1999년까지 약 3000여명의 환자에 대하여 판막치환술을 시행하였으며 여기에 사용된 총 판막의 수는 약 3700 개였다. 삽입된 판막을 부위별로 살펴보면 승모판막 1600명, 대동맥판막 584명, 삼첨판막 76명 등이었으며, 700여명에서 2개이상의 판막을 치환하였다 전체 판막환자의 약 46%인 1280여명이 조직판막을 치환 받았으며, 54%인 약 1500여명이 금속판막을 치환 받았다. 약 16%인 460여명이 판막재치환술을 시행받았으며 해마다 약 40여명 전후에서 시행되고 있다. 결론: 저자들은 판막레지스트리를 확립하기 위한 데이터베이스 프로그램을 성공적으로 개발하였으며 이는 향후 연구활동과 보건의료분야의 발전에 효과적으로 활용될 수 있다.

• Journal of Preventive Medicine and Public Health
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• 제50권5호
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• pp.294-302
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• 2017

Objectives: The objectives of this study were to investigate the agreement between medical history questionnaire data and claims data and to identify the factors that were associated with discrepancies between these data types. Methods: Data from self-reported questionnaires that assessed an individual's history of hypertension, diabetes mellitus, dyslipidemia, stroke, heart disease, and pulmonary tuberculosis were collected from a general health screening database for 2014. Data for these diseases were collected from a healthcare utilization claims database between 2009 and 2014. Overall agreement, sensitivity, specificity, and kappa values were calculated. Multiple logistic regression analysis was performed to identify factors associated with discrepancies and was adjusted for age, gender, insurance type, insurance contribution, residential area, and comorbidities. Results: Agreement was highest between questionnaire data and claims data based on primary codes up to 1 year before the completion of self-reported questionnaires and was lowest for claims data based on primary and secondary codes up to 5 years before the completion of self-reported questionnaires. When comparing data based on primary codes up to 1 year before the completion of selfreported questionnaires, the overall agreement, sensitivity, specificity, and kappa values ranged from 93.2 to 98.8%, 26.2 to 84.3%, 95.7 to 99.6%, and 0.09 to 0.78, respectively. Agreement was excellent for hypertension and diabetes, fair to good for stroke and heart disease, and poor for pulmonary tuberculosis and dyslipidemia. Women, younger individuals, and employed individuals were most likely to under-report disease. Conclusions: Detailed patient characteristics that had an impact on information bias were identified through the differing levels of agreement.

• 한국정보통신학회논문지
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• 제19권5호
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• pp.1151-1156
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• 2015

예방접종등록 정보시스템에 구축되어 있는 접종등록자료의 정확성, 중복성, 등록률 등을 분석하였다. 이를 통해 접종데이터 미등록 현황, 중복데이터, 누락데이터, 오류데이터 현황을 파악하였다. 또한 예방접종 등록 정보시스템의 접종등록자료의 품질 개선을 위한 품질관리 오류기준안을 마련하여 데이터베이스 품질관리체계 수립을 제안한다.

• 대한지역사회영양학회지
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• 제21권3호
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• pp.293-300
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• 2016

Objectives: The purpose of the study was to develop a dietary fiber composition table (DFCT) and to assess dietary fiber intakes in Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The DFCT was developed by compiling the food composition tables published by the agencies of Korea, United States, or Japan. When there was no available data from the same species or status (dried, boiled, etc.) of food, the values were imputed by estimating from the same species with different status or substituting familiar species in biosystematic grouping. Using KNHANES VI-2 (2014) microdata and DFCT, intake of dietary fiber of Koreans was estimated. Results: Among the 5,126 food items of DFCT, the proportion of items of which dietary fiber contents were taken from the analytical values of the same foods was 40.9%. The data from the domestic food composition tables was 37.5%, and the data from the foreign tables was 49.6%. The rest was assumed as zero, or estimated with recipe database and nutrition labeling. Mean daily intake of dietary fiber was 23.2 g, and mean intake per 1,000 kcal was 10.7 g in men and 12.6 g in women. The mean percentage of dietary fiber intake compared to adequate intake was higher than 100%. The major food groups contributing to dietary fiber intakes were vegetables and cereals, and the percent contribution were 32.9% and 23.0% of total dietary fiber intakes, respectively. Conclusions: This DFCT could serve as a useful database for assessing dietary fiber intakes and for investigating the association between dietary fiber intakes and noncommunicable diseases.

• Asian-Australasian Journal of Animal Sciences
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• 제32권2호
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• pp.290-296
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• 2019

Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.

• 한국콘텐츠학회논문지
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• 제9권7호
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• pp.1-8
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• 2009

본 논문에서는 질병에 대한 전문적인 지식이 부족한 일반인들을 대상으로 자신의 건강 상태를 쉽게 파악할 수 있는 퍼지 신경망 기법을 이용한 한방 자가 진단 질병 분류 시스템과, 자택에서 간편하게 전문의의 진료상담을 받을 수 있는 원격 진료 시스템을 통합한 홈메디컬 시스템을 제안한다. 제안한 한방 자가 진단 시스템은 72가지 한방 질병과 각 질병에 대한 증상을 분석하여 데이터베이스로 구축하고 구축된 데이터베이스 정보를 기반으로 퍼지 신경망 기법을 적용하여 사용자의 질병을 도출한다. 본 논문의 자가 진단 방법은 사용자가 자신의 대표 증상을 제시하면 해당 증상을 포함하는 질병들을 도출하고, 도출된 질병들의 세부 증상들을 사용자가 입력 벡터로 제시하면 퍼지 신경망 기법을 적용하여 세부 증상에 대한 질병들을 클러스터링한 후, 세부 증상에 대한 질병의 소속 정도를 제공한다. 제안한 원격 진료 시스템은 사용자와 전문의가 모두 로그인을 통하여 접속하게 되면 서버에 클라이언트의 정보가 송신되고, 사용자는 서버에서 전문의의 접속 현황을 전달받아 원하는 전문의와 동화상으로 원격 연결되어 전문의의 진료 소견을 받는다. 본 논문에서 제안한 시스템을 한의학 전문의가 분석한 결과, 본 논문에서 제안한 시스템이 한방 질병의 보조 진단으로서의 가능성을 확인하였다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제55차 동계학술대회논문집 25권1호
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• pp.263-265
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• 2017

본 논문에서는 대사증후군관련 의료 빅데이터 표준화 시스템의 환경과 소프트웨어 환경을 설계한 사항에 대해서 기술한다. 이를 위해 임상데이터를 기반으로 의료 빅데이터를 수집하고 국제 표준화인 공통 데이터 모델로 수집된 데이터를 ETL하여 통합 데이터베이스에 저장하였다. 본 연구를 통해 구축된 의료 빅데이터 표준화 시스템은 향후 의사결정 보조시스템 개발과 연계하여 효과적인 검색과 다양한 통계 분석을 지원할 계획이다. 또한 병원의 다양한 임상 연구를 지원하기 위한 주요 시스템으로 자리매김할 것으로 기대한다.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제17권3호
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• pp.147-154
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• 2014

Purpose: Gender differences in paediatric patients with inflammatory bowel disease (IBD) are frequently reported as a secondary outcome and the results are divergent. To assess gender differences by analysing data collected within the Swiss IBD cohort study database since 2008, related to children with IBD, using the Montreal classification for a systematic approach. Methods: Data on gender, age, anthropometrics, disease location at diagnosis, disease behaviour, and therapy of 196 patients, 105 with Crohn's disease (CD) and 91 with ulcerative or indeterminate colitis (UC/IC) were retrieved and analysed. Results: The crude gender ratio (male : female) of patients with CD diagnosed at <10 years of age was 2.57, the adjusted ratio was 2.42, and in patients with UC/IC it was 0.68 and 0.64 respectively. The non-adjusted gender ratio of patients diagnosed at ${\geq}10$ years was 1.58 for CD and 0.88 for UC/IC. Boys with UC/IC diagnosed <10 years of age had a longer diagnostic delay, and in girls diagnosed with UC/IC >10 years a more important use of azathioprine was observed. No other gender difference was found after analysis of age, disease location and behaviour at diagnosis, duration of disease, familial occurrence of IBD, prevalence of extra-intestinal manifestations, complications, and requirement for surgery. Conclusion: CD in children <10 years affects predominantly boys with a sex ratio of 2.57; the impact of sex-hormones on the development of CD in pre-pubertal male patients should be investigated.