• Title/Summary/Keyword: Korean Classification of Diseases

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Changes in Diseases of Physical Therapy Patients and Medical Department on Two General Hospitals in Taegu (대구시내 2개 종합병원 물리치료환자의 진료과 및 질병 변화 $(1989\~1991)$)

  • Chu Min;Kim Ji-Sook;Im Bok-Hee
    • The Journal of Korean Physical Therapy
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    • v.5 no.1
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    • pp.47-60
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    • 1993
  • This study was conducted to investigate the changes diseases of physical therapy patient. Through the analysis, of total 2,902 cases in one university hospital and one general hospital in Taegu, of which 1,619 cases for 1989 and 1,283 cases for 1981. The physical records were analyzed in terms of sex, age, pattern in PT diseases, fee, and medical department of PT. The international classification of Diseases, 9th revision was used fer the study. Major results are as follows : 1. The ratio of male me female nae 1.51 to 1 in 1989, 1.53 to 1 in 1991. The proportion of the elderly over 60 was $15.6\%$ in 1989, $22.0\%$ in 1989. And the age groups of 50-59 years ranked the first an years. 2. As to the PT patients of medical department, Orthopaedics$(50.3\%)$, Neurosurgery$(28.1\%)$. Neuromedicine$(8.0\%)$. Plastic surgery$(4.4\%)$, and Dentry$(3.2\%)$ in that order in 1989. On the other hand, Orthopaedics$(51.2\%)$, Neurosurgery$(22.1\%)$, Neuromedicine$(9.6\%)$, Plastic surgery$(6.5\%)$, and Internal medicine$(6.5\%)$ in that order in 1991. 3. No significant difference was observed by season of PT patients, but winter (December, January and February) ranked the first all years. 4. No significant difference was observed changes in diseases as for the 56 international classification of diseases of PT patients, Diseases of the musculoskeletal system and connective tissue occupied the largest proportion all years. Fractures increased from $21.4\%$ in 1989, $24.5\%$ in 1991. On the other hand, Diseases of the nervous system remarkably increased from $8.9\%$ in 1989, $19.7\%$ in 1991.

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Current Status of Phytoplasmas and their Related Diseases in Korea

  • Jung, Hee-Young;Win, Nang Kyu Kyu;Kim, Young-Hwan
    • The Plant Pathology Journal
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    • v.28 no.3
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    • pp.239-247
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    • 2012
  • Phytoplasmas have been associated with more than 46 plant species in Korea. Several vegetables, ornamentals, fruit trees and other crop species are affected by phytoplasma diseases. Six 16Sr groups of phytoplasmas have been identified and these phytoplasmas are associated with 63 phytoplasma diseases. Aster yellows phytoplasmas are the most prevalent group and has been associated with more than 25 diseases in Korea. Jujube witches' broom, paulownia witches' broom and mulberry dwarf diseases cause economic losses to host trees throughout the country. So far, Korean phytoplasmas belong to six species of 'Candidatus Phytoplasma'; 'Ca. P. asteris', 'Ca. P. pruni$^*$', 'Ca. P. ziziphi', 'Ca. P. trifolii', 'Ca. P. solani$^*$' and 'Ca. P. castaneae'. The diseases are distributed throughout the country and most of them were observed in Gyeongbuk and Chonbuk provinces. At least four insect vectors; Cyrtopeltis tenuis, Hishimonus sellatus, Macrosteles striifrons and Ophiola flavopicta have been identified for phytoplasma transmission.

The Classification System and Information Service for Establishing a National Collaborative R&D Strategy in Infectious Diseases: Focusing on the Classification Model for Overseas Coronavirus R&D Projects (국가 감염병 공동R&D전략 수립을 위한 분류체계 및 정보서비스에 대한 연구: 해외 코로나바이러스 R&D과제의 분류모델을 중심으로)

  • Lee, Doyeon;Lee, Jae-Seong;Jun, Seung-pyo;Kim, Keun-Hwan
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.127-147
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    • 2020
  • The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

DSM-IV Diagnostic Criteria for Anxiety Disorder: Discriminant Validity (현재 불안 장애의 분류 : 타당한가?)

  • Yu Bum-Hee;Lee In-Soo
    • Anxiety and mood
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    • v.1 no.1
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    • pp.18-24
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    • 2005
  • The Diagnostic and Statistical Manual 4th edition (DSM-IV) has been widely accepted and used for international classification of mental disorder. The DSM has been changed to improve diagnostic reliability and validity through descriptive and categorical approaches which was undertaken atheoretically. The authors reviewed current studies about the DSM-IV classification system and the diagnostic issues of representative categories of anxiety disorder. The authors concluded that the anxiety disorder classification system in DSM-IV has limitations such as a lack of empirical consideration for overlapping features of anxiety disorders and a lack of discriminant validity. To improve diagnostic validity and revise the current DSM-IV classification system, the authors suggested 1) more longitudinal studies for collecting empirical evidence, 2) decreasing the dependence upon operational criteria, 3) deceasing diagnostic boundary blurring, 4) developing disease specific biological diagnostic techniques and 5) continued collaboration between the DSM and International Classification of Diseases (ICD) systems.

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A new classification of periodontal and peri-implant disease (치주질환 및 임플란트 주위 질환의 새 분류)

  • Shin, Hyun-Seung
    • The Journal of the Korean dental association
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    • v.57 no.12
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    • pp.758-767
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    • 2019
  • The classification of periodontal disease in 1999 has been widely used for determining a diagnosis, establishing a treatment plan, and evaluating the prognosis of the patient with periodontal disease. However, scientific evidence from many studies indicates the need for a new classification system for periodontal and peri-implant disease. Summary at 2017 world workshop as follows: 1) Periodontal health and peri-implant health was defined; 2) Chronic periodontitis and aggressive periodontitis were unified as periodontitis; 3) Periodontitis was further classified by staging and grading to reflect disease severity and management complexity, rate of disease progression, respectively; 4) Periodontal disease as manifestation of systemic disease is based on the International Statistical Classification of Diseases and Related Health Problems-10 (ICD-10) code; 5) Periodontal biotype and biologic width was replaced to periodontal phenotype and supracrestal tissue attachment, respectively; 6) The excessive occlusal force was replaced by a traumatic occlusal force; 7) ≥3 mm of radiographic bone loss, ≥6 mm of pocket probing depth and bleeding on probing indicates peri-implantitis in the absence of radiograph at final prosthesis delivery.

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The Pig Disease in Taiwan 9000 Cases Analysis

  • Chen, San-Duo
    • Proceedings of the Korean Society of Veterinary Pathology Conference
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    • 2003.10a
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    • pp.20-25
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    • 2003
  • Classification of pig diseases in clinical cases ㆍ Digestive system ㆍ Respiratory system ㆍ Reproductive system ㆍ Nervous system ㆍ Others. (omitted)

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Understanding Cold and Hot Pattern Classification Based on Systems Biology (시스템 생리학에 기반한 한열 변증의 이해)

  • Lee, Soojin
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.30 no.6
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    • pp.376-384
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    • 2016
  • Systems biology is an emerging field aiming at a systems level understanding of living organisms and focusing on the characteristics of the whole network of them. The emergence of systems biology is partly because of the availability of huge amounts of data on organisms and the extensive support of computational technologies as the tools for understanding complex biological systems. The scientific understanding of Korean medicine has been obstructed because of the lack of proper methods examining the complex nature and the unique property of it. However, systems biology could give a chance understanding Korean medicine objectively and scientifically. Pattern classification is a unique tool of Korean medicine to diagnose and treat patients and systems biology would give a useful tool to interpret pattern classification. Various omics technologies has been used to explain the relations between pattern classification and biological factors and then many characteristics of pattern classification in various diseases have been discovered. Therefore, pattern classification could be a bridge to understand the features and differences of western medicine and Korean medicine and it could be a basis to develop pattern-based personalized medicine.

Phenotypes of allergic diseases in children and their application in clinical situations

  • Lee, Eun;Hong, Soo-Jong
    • Clinical and Experimental Pediatrics
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    • v.62 no.9
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    • pp.325-333
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    • 2019
  • Allergic diseases, including allergic rhinitis, asthma, and atopic dermatitis, are common heterogeneous diseases that encompass diverse phenotypes and different pathogeneses. Phenotype studies of allergic diseases can facilitate the identification of risk factors and their underlying pathophysiology, resulting in the application of more effective treatment, selection of better treatment responses, and prediction of prognosis for each phenotype. In the early phase of phenotype studies in allergic diseases, artificial classifications were usually performed based on clinical features, such as triggering factors or the presence of atopy, which can result in the biased classification of phenotypes and limit the characterization of heterogeneous allergic diseases. Subsequent phenotype studies have suggested more diverse phenotypes for each allergic disease using relatively unbiased statistical methods, such as cluster analysis or latent class analysis. The classifications of phenotypes in allergic diseases may overlap or be unstable over time due to their complex interactions with genetic and encountered environmental factors during the illness, which may affect the disease course and pathophysiology. In this review, diverse phenotype classifications of allergic diseases, including atopic dermatitis, asthma, and wheezing in children, allergic rhinitis, and atopy, are described. The review also discusses the applications of the results obtained from phenotype studies performed in other countries to Korean children. Consideration of changes in the characteristics of each phenotype over time in an individual's lifespan is needed in future studies.

Contrivance of Integrated Pattern Differentiation Method for Diagnostic Unification of Exogenous Contagious Diseases (다양한 유행성 감염병의 진단 일원화를 위한 통합변증방법 연구)

  • Chi, Gyoo Yong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.30 no.1
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    • pp.1-6
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    • 2016
  • In recent years, there were frequent exogenous contagious diseases in Eastasia like SARS(severe acute respiratory syndrome), Avian influenza, Swine influenza, MERS etc. But there are various interpretations about their pathological differentiations and lead to controversy to diagnosis and medicinal use. So there needs universal and consistent understanding methods. Several conclusions are obtained from the research on differentiation theories of various epidemic diseases. Essential elements of differential diagnostic system are pathogen, characters and matters of disease and loci, especially three yin and three yang has close affinity with constitutional features or body shape. Binding these 3 categories, an integrated differentiation 3 dimensional coordinates are made. Out of these, each elements of 3 pathogen-axial lines are related with names of exogenous disease, and those of 3 feature-axial lines are related with 8 principal patterns. And those of 3 locus-axial lines implicating therapeutic method are related with steps and location of exterior and interior, 3 yin 3 yang, Defense, Qi, Nutrient and Blood, five viscera and six bowels and tissues. Additionally, 3 lines of each axis consist of factors which have their own affinity each other, so classification of pathogen, feature, locus of disease has layered interconnectedness. This classification system is included in constitutional features of individual patient. Afterwards, these cognitive structure can be used as a general theory guiding method of therapy, prevention and aftercure healthcare.