• Genomics & Informatics
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• 제6권3호
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• pp.153-156
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• 2008

Complex diseases such as stroke and cancer have two or more genetic loci and are affected by environmental factors that contribute to the diseases. Due to the complex characteristics of these diseases, identifying candidate genes requires a system-level analysis of the following: gene ontology, pathway, and interactions. A database and user interface, termed StrokeBase, was developed; StrokeBase provides queries that search for pathways, candidate genes, candidate SNPs, and gene networks. The database was developed by using in silico data mining of HGNC, ENSEMBL, STRING, RefSeq, UCSC, GO, HPRD, KEGG, GAD, and OMIM. Forty candidate genes that are associated with cerebrovascular disease were selected by human experts and public databases. The networked cerebrovascular disease gene maps also were developed; these maps describe genegene interactions and biological pathways. We identified 1127 genes, related indirectly to cerebrovascular disease but directly to the etiology of cerebrovascular disease. We found that a protein-protein interaction (PPI) network that was associated with cerebrovascular disease follows the power-law degree distribution that is evident in other biological networks. Not only was in silico data mining utilized, but also 250K Affymetrix SNP chips were utilized in the 320 control/disease association study to generate associated markers that were pertinent to the cerebrovascular disease as a genome-wide search. The associated genes and the genes that were retrieved from the in silico data mining system were compared and analyzed. We developed a well-curated cerebrovascular disease-associated gene network and provided bioinformatic resources to cerebrovascular disease researchers. This cerebrovascular disease network can be used as a frame of systematic genomic research, applicable to other complex diseases. Therefore, the ongoing database efficiently supports medical and genetic research in order to overcome cerebrovascular disease.

• 대한한의학원전학회지
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• 제32권3호
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• pp.131-146
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• 2019

Objectives : The aim of this paper is to study the methodology for effectively analyzing the "Jinguiyaolue" prescriptions using database, and to explore possibilities of applying the data construction and query produced in the process to comparative research with other texts in the future. Methods : Using "Xinbianzhongjingquanshu(新編仲景全書)" as original script, the contents of "Jinguiyaolue" were entered into the database, in which one verse would be separated according to content for individual usage. Also, data with medicinal construction and disease pattern information of the previously constructed "Shanghanlun" database designed for comparison with other texts was applied for comparative analysis. Results : For input and analysis, 6 tables and 12 queries were made and used. Formulas were accessible by using herbal combinations, and applications of these formulas could be assembled for comparison. Formulas were also accessible by using disease pattern combinations, and combinations of herbs and disease pattern together were also applicable. In comparison with other texts, examples and frequency of usage of herbs could be relatively accurately compared, while disease patterns could not easily be compared. Conclusions : Herbal combinations, disease pattern combinations could yield related texts and herb/disease pattern combinations of the prescriptions in the "Jinguiyaolue", which shortened time needed for research among formulas in texts. However, standardization research for disease pattern is necessary for a more accurate comparative study that includes disease pattern information.

• 보건행정학회지
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• 제30권4호
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• pp.431-432
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• 2020

Coronavirus disease 2019 (COVID-19) has been going on for nearly a year. As of December 1, 2020, more than 60 million confirmed cases and 1.4 million deaths have occurred in 220 countries and territories. There is no effective treatment for COVID-19 so far, and vaccines are being developed. However, the vaccine of COVID-19 can be freed from COVID-19 only if there are positive answers to some questions: "Aren't there any major side effects from the vaccine?"; "Is the vaccine effective for enough time?"; "Does the vaccine sufficiently reduce the mortality rate?"; and "Does the vaccine sufficiently reduce the reproduction number?" The fight against COVID-19 will continue for a long time. Therefore, we need to respond by developing the evidence for control of COVID-19, the emerging infectious disease. Extensive quarantine measures in the early stages of COVID-19 need to be elaborated through developing the evidence. Korea Disease Control and Prevention Agency should establish a database for evidence developing COVID-19 control. In this database, based on more than 3 million tested individuals, epidemiological investigation results, health insurance claims data, and government data such as the Ministry of Public Administration and Security, etc. should be linked. It is necessary to disclose this database to academia, etc. to create the evidences of COVID-19 and manage COVID-19 through these. And through the developed evidences, guidelines for physical health and mental health in the era of Corona 19 should be developed.

• 약학회지
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• 제53권3호
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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.

• 대한예방한의학회지
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• 제28권1호
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• pp.69-87
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• 2024

Objectives : This study is to investigate the current National Health Insurance Database cohort studies related to complications of Parkinson's Disease (PD) and suggest the design of Korean medical epidemiological studies of PD. Methods : Nationwide longitudinal studies of PD patients in South Korea were collected through Pubmed and the Korea Citation Index (KCI). We selected cohort studies that used the National Health Insurance Database in Korea and targeted Parkinson's disease patients. Studies published before February 2024 were categorized according to study designs. We examined variables and covariates, enroll dates and matching methods. Results : Of a total of 536 studies, 18 studies met the inclusion criteria. All studies used the National Health Insurance (NHI) Research Database and among them, 5 used sample data and one senior database. Studies can be classified into two types. 11 cohort studies were comparing PD patients and non-PD patients. Another type was 4 PD patients cohort studies. Most studies used two diagnostic codes (G20 and V124) for inclusion criteria. Enroll periods were from 2002 to 2017, and follow-up periods were from 7 to 14 years. 16 studies considered age and sex as covariates. 15 studies used the propensity score matching method to increase the level of causality. There was only one study related to the Korean medical treatment. Conclusion : In future cohort studies on Korean medical treatment, more attempts should be made to reveal the effect of the treatments on PD patients by defining inclusion criteria for patient groups, covariates, exposure variables, and assessment indicators more operatively.

• Genomics & Informatics
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• 제6권3호
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• pp.142-146
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• 2008

In order to understand the protein functions that are related to disease, it is important to detect the correlation between amino acid mutations and disease. Many mutation studies about disease-related proteins have been carried out through molecular biology techniques, such as vector design, protein engineering, and protein crystallization. However, experimental protein mutation studies are time-consuming, be it in vivo or in vitro. We therefore performed a bioinformatic analysis of known disease-related mutations and their protein structure changes in order to analyze the correlation between mutation and disease. For this study, we selected 111 diseases that were related to 175 proteins from the PDB database and 710 mutations that were found in the protein structures. The mutations were acquired from the Human Gene Mutation Database (HGMD). We selected point mutations, excluding only insertions or deletions, for detecting structural changes. To detect a structural change by mutation, we analyzed not only the structural properties (distance of pocket and mutation, pocket size, surface size, and stability), but also the physico-chemical properties (weight, instability, isoelectric point (IEP), and GRAVY score) for the 710 mutations. We detected that the distance between the pocket and disease-related mutation lay within $20\;{\AA}$ (98.5%, 700 proteins). We found that there was no significant correlation between structural stability and disease-causing mutations or between hydrophobicity changes and critical mutations. For large-scale mutational analysis of disease-causing mutations, our bioinformatics approach, using 710 structural mutations, called "Structural Mutatomics," can help researchers to detect disease-specific mutations and to understand the biological functions of disease-related proteins.

• 한국전자통신학회논문지
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• 제2권2호
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• pp.92-98
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• 2007

수산용 의약품의 목록을 데이터베이스 화 한 어류약물정보시스템엔 상품명, 대상어종, 유효성분, 제조회사명, 적응증(질병) 등 약물에 대한 다양한 자료와 제조회사정보, 식품의 기준 및 규격에 관한 자료가 들어있다. 또한 추후에는 어류 질병에 대한 상세 자료를 데이터베이스 화 한 어류질병정보시스템을 구축할 것이다. 따라서 약물정보시스템과 질병정보시스템을 근간으로 한 어류질병판별시스템에서 질병 판정 후 치료에 필요한 처방전 발행과 약품 주문 등에 응용 활용할 것을 제안한다.

• 한국컴퓨터정보학회논문지
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• 제26권2호
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• pp.39-44
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• 2021

본 논문에서는 가정에서 많이 기르는 반려견을 바탕으로 반려견 질병에 대한 전문적인 수의학 지식이 부족한 일반인들을 대상으로 자신의 반련견의 건강 상태를 파악할 수 있는 진단 시스템을 제안한다. 제안된 진단 시스템은 50가지 질병과 각 질병의 증상을 데이터베이스에 구축하여 입력된 증상을 통해서 반려견의 질병을 도출한다. 각 질병 데이터베이스에는 질병에 해당하는 증상 코드들을 가지고 있으며, 이러한 질병에 대한 데이터베이스를 이용하여 군집화 기법인 FCM 클러스터링 기법을 적용하여 질병을 클러스터링하고 그 결과 값인 소속도를 바탕으로 입력된 증상과 가까운 질병들을 도출하여 반려견의 진단 결과를 제공한다. 제안된 반려견 진단의 구현 결과에서는 선택한 증상들의 개수와 선택된 증상들이 포함된 질병들의 가능성 값을 구하여 내림차순으로 정렬하여 반려견의 증상과 가장 가까운 질병 상위 3가지를 도출하였다.

• Journal of information and communication convergence engineering
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• 제19권1호
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• pp.29-35
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• 2021

While the population of pet dogs and pet-related markets are increasing, there is no convenient and reliable tool for pet health monitoring for pet owners/caregivers. In this paper, we propose a mobile platform-based pre-diagnosis system that pet owners can use for pre-diagnosis and obtaining information on coping strategies based on their observations of the pet dog's abnormal behavior. The proposed system constructs symptom-disease association databases for 100 frequently observed diseases under veterinarian guidance. Then, we apply the possibilistic fuzzy C-means algorithm to form the "probable disease" set and the "doubtable disease" set from the database. In the experiment, we found that the proposed system found almost all diseases correctly, with an average of 4.5 input symptoms and outputs 1.5 probable and one doubtable disease on average. The utility of this system is to alert the owner's attention to the pet dog's abnormal behavior and obtain an appropriate coping strategy before consult a veterinarian.

• 한국정보전자통신기술학회논문지
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• 제16권4호
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• pp.210-219
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• 2023

농촌 인구의 감소와 고령화로 인한 노동력 부족, 비닐하우스 내의 악화된 환경과 위험에 따른 사망 사례가 발생하고 있다. 이에 따라, 비닐하우스에서의 작물 재배와 병해 검출을 자동화하여 인력 손실을 막는 시스템이 필요하다. 본 논문에서는 비닐하우스에서 작물의 병해를 검출하기 위해 객체 검출 기반의 모델을 활용한다. 또한, 클라우드에서 인공지능 모델의 환경을 구성하여 안정성을 확보한다. 제안하는 시스템은 비닐하우스 내에서 촬영한 영상을 데이터베이스에 저장하고, 클라우드에서 영상을 다운로드한 후 Yolo-v4를 기반으로 추론한 검출 결과를 JSON 파일로 생성한다. 이 파일을 분석하여 데이터베이스로 전송하여 저장한다. 실험 결과로 객체 검출을 통한 병해 감지는 비닐하우스와 같은 실제 환경에서 높은 성능을 나타냄을 확인할 수 있고 데이터베이스를 통하여 효율적인 모니터링이 가능함을 확인하였다.