• 제목/요약/키워드: network medicine

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북한 고려의학 학술 저널에 대한 저자 및 키워드 네트워크 분석 (A Network Analysis of Authors and Keywords from North Korean Traditional Medicine Journal, Koryo Medicine)

  • 오준호;이은희;이주연;김동수
    • 대한예방한의학회지
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    • 제25권2호
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    • pp.33-43
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    • 2021
  • Objectives : This study seeks to grasp the current status of Koryo medical research in North Korea, by focusing on researchers and research topics. Methods : A network analysis of co-authors and keyword which were extracted from Koryo Medicine - a North Korean traditional medicine journal, was conducted. Results : The results of author network analysis was a sparse network due to the low correlation between authors. The domain-wide network density of co-authors was 0.001, with a diameter of 14, average distance between nodes 4.029, and average binding coefficient 0.029. The results of the keyword network analysis showed the keyword "traditional medicine" had the strongest correlation weight of 228. Other keywords with high correlation weight was common acupuncture (84) and intradermal acupuncture(80). Conclusions : Although the co-authors of the Koryo Medicine did not have a high correlation with each other, they were able to identify key researchers considered important for each major sub-network. In addition, the keywords of the Koryo Medicine journals had a very high linkage to herbal medicines.

동의보감(東醫寶鑑) 두문(頭門) 처방의 네트워크 분석을 통해 간략화한 두부(頭部) 증상의 주요 원인 및 처방 (The Major Causes and Prescriptions for Head Symptoms in Donguibogam Simplified by Network Analysis)

  • 김철현;추홍민;문연주;성강경;이상관
    • 대한한방내과학회지
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    • 제38권6호
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    • pp.1000-1006
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    • 2017
  • Objectives: Head symptoms, such as headache and dizziness, are commonly presented in clinical practice. Although Donguibogam, the representative book of Korean medicine, contains many prescriptions for head symptoms, they are difficult to learn and apply because of the vast numbers. The aim of this study was to simplify and visualize the vast contents of Donguibogam by network analysis. Methods: 127 prescriptions for head symptoms, found in Donguibogam, were entered into a Microsoft office Excel 2013 file. This was used as a database for network analysis using the NetMiner 4 program. Results: Through network analysis, six networks for prescriptions for head symptoms in Donguibogam were established. The first network is similar to the herb composition of Cheongsangsahwa-tang (prescriptions for hwa-yeol syndrome). The second network is similar to the herb composition of Yanghyulgupung-tang (prescriptions for hyul-heo syndrome). The third network is similar to the herb composition of Sangcheongbaekbuja-hwan (prescriptions for dam-eum syndrome). The fourth network is similar to the herb composition of Heukseok-dan (prescriptions for yang-heo syndrome). The fifth network is similar to the herb composition of Boheo-eum (prescriptions for chil-jeong syndrome). The sixth network is similar to the herb composition of Bangpungtongseong-san (prescriptions for hwa-yeol syndrome). Conclusions: The results of the network analysis of 127 prescriptions for head symptoms in Donguibogam suggest that there are five major causes of head symptoms (hwa-yeol, hyul-heo, dam-eum, yang-heo, and chil-jeong), and that it is possible to prescribe Cheongsangsahwa-tang, Bangpungtongseong-san, Yanghyulgupung-tang, Sangcheongbaekbuja-hwan, Heukseok-dan, or Boheo-eum depending on the major causes.

네크워크 약리학적 방법론을 활용한 한의학 효능 연구 고찰 (Review of Network Pharmacological Approaches on Korean Medicine)

  • 백종민;서한길;권영규
    • 동의생리병리학회지
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    • 제30권6호
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    • pp.419-425
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    • 2016
  • This study analyzed research methodologies based on network pharmacology to build a new system architecture optimized for Korean Medicine research. Results form studies using network pharmacology were collected and analyzed to evaluate the strength and weakness. Finally, an improved system architecture was proposed. Whether the predicted effects of drugs or herbs from network pharmacological analyses were in agreement with those from conventioanl knowledge of Korean Medicine was evaluated. These results were used to verify the applicability of research methodologies to the modern pharmacology and Korean Medicine respectively. Eighteen papers using TCMSP were collected and analyzed. The results suggest that the research methodology based on network pharmacology is appropriate only for the modern pharmacology but not for Korean Medicine. Information about compound-compound, herb-herb and drug-compound interactions need to be considered. We propose the modified system architecture with those information.

동의보감 풍문 내 중풍증과 비병증, 역절풍증, 파상풍증 처방의 본초 조합 네트워크 비교 (A Comparative Study on the Herb Network of Prescriptions in the Dongui-Bogam Wind Chapter)

  • 추홍민;김철현;문연주;성강경;이상관
    • 대한한방내과학회지
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    • 제38권6호
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    • pp.1007-1020
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    • 2017
  • Objectives: This study was carried out to investigate whether a prescription's composition varies according to the disease being caused by wind, which is one of the migratory pathogenic factors. Methods: An initial database and binary matrix of Pungmun in Dongui-Bogam, including its herbs and prescription, was constructed. With this data, a network map about wind stroke, arthralgia, acute arthritis, and tetanus in Dongui-Bogam was constructed. Results: Analysis of the network map about Pungmun in Dongui-Bogam revealed that the complete prescription network has more isolated nodes than does each disease's network map. Conclusions: The composition of prescriptions in Dongui-Bogam Pungmun differ according to the disease being caused by wind.

심부전의 한약 임상연구에 활용된 한약재에 대한 기구축 DB(K-HERB NETWORK)를 활용한 네트워크 분석 (Network Analysis Using the Established Database (K-herb Network) on Herbal Medicines Used in Clinical Research on Heart Failure)

  • 박수빈;김예지;배기상;김철현;윤인애;임정태;추홍민
    • 대한한방내과학회지
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    • 제44권3호
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    • pp.313-353
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    • 2023
  • Objectives: Heart failure is a chronic disease with increasing prevalence rates despite advancements in medical technology. Korean medicine utilizes herbal prescriptions to treat heart failure, but little is known about the specific herbal medicines comprising the network of herbal prescriptions for heart failure. This study proposes a novel methodology that can efficiently develop prescriptions and facilitate experimental research on heart failure by utilizing existing databases. Methods: Herbal medicine prescriptions for heart failure were identified through a PubMed search and compiled into a Google Sheet database. NetMiner 4 was used for network analysis, and the individual networks were classified according to the herbal medicine classification system to identify trends. K-HERB NETWORK was utilized to derive related prescriptions. Results: Network analysis of heart failure prescriptions and herbal medicines using NetMiner 4 produced 16 individual networks. Uhwangcheongsim-won (牛黃淸心元), Gamiondam-tang (加味溫膽湯), Bangpungtongseong-san (防風通聖散), and Bunsimgi-eum (分心氣飮) were identified as prescriptions with high similarity in the entire network. A total of 16 individual networks utilized K-HERB NETWORK to present prescriptions that were most similar to existing prescriptions. The results provide 1) an indication of existing prescriptions with potential for use to treat heart failure and 2) a basis for developing new prescriptions for heart failure treatment. Conclusion: The proposed methodology presents an efficient approach to developing new heart failure prescriptions and facilitating experimental research. This study highlights the potential of network pharmacology methodology and its possible applications in other diseases. Further studies on network pharmacology methodology are recommended.

중국 네트워크약리학 데이터베이스 구축 현황 및 TCMSP의 활용가능성 검토 - 사상체질의학의 약물을 중심으로 - (Status of Construction of TCM Network Pharmacology Databases and Potential Application of TCMSP to Korean Traditional Medicine - mainly with Sasang-related Herbs)

  • 황상문;백종민;서수연;권영규
    • 동의생리병리학회지
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    • 제29권6호
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    • pp.443-450
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    • 2015
  • The purpose of this study was is to understand how the network pharmacology databases of traditional medicine in China are established and provide suggestion for successful implementation in Traditional Korean Medicine. We searched for network-pharmacology-related TCM Databases provided on the internet, and analysed their contents. Then, we compared herbs related to Sasang with herbs of the TCM Databases. We chose 8 network-pharmacology-related TCM Databases. They shared information about compounds, herbs, formulae, drugs, targets and diseases, and provided interaction networks between these components. In comparison with herbs related to Sasang, TCMSP Database did not have information about 99 herbs in total, and 25 herbs included in major Sasang formulae. The implications and recommendations for Traditional Korean Medicine researches were discussed. Based on the results of this primary study, more related studies should be carried out in the future.

Social Network Characteristics and Body Mass Index in an Elderly Korean Population

  • Lee, Won Joon;Youm, Yoosik;Rhee, Yumie;Park, Yeong-Ran;Chu, Sang Hui;Kim, Hyeon Chang
    • Journal of Preventive Medicine and Public Health
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    • 제46권6호
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    • pp.336-345
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    • 2013
  • Objectives: Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, $kg/m^2$) in an elderly Korean population. Methods: This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis. Results: After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (${\beta}$=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (${\beta}$=0.885, p=0.049), but not in the men (p=0.140). Conclusions: Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

한의학 이론 연구를 위한 새로운 방법: 네트워크 약리학을 활용한 약물중심 접근법 (A Novel Method to Investigating Korean Medicine Theory : Drug-centered Approach Employing Network Pharmacology)

  • 이원융;김창업;이충열
    • 동의생리병리학회지
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    • 제35권5호
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    • pp.125-131
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    • 2021
  • The scientific understanding of Korean medicine theory remains largely unknown, since there is a lack of proper methods to investigate its complex and unique characteristics. Here, we introduce a drug-centered approach, a novel method to investigate Korean medicine theory by analyzing the mechanisms of herbal medicines. This method can be effectively conducted by employing network pharmacology that can analyze the systems-level mechanisms of herbal medicines on a large scale. Firstly, we introduce the method of network pharmacology that are applied to analyze the mechanisms of herbal medicines in a step-by-step manner. Then, we show how the drug-centered approach employing network pharmacology can be applied to investigate Korean medicine theory by describing studies that identify the biological correlates of the cold-hot nature of herbs, spleen qi deficiency syndrome, or Sasang constitution. Finally, we discuss the limitations and future directions of the proposed approach in two aspects: The methods of network pharmacology for a drug-centered approach and the process of inferring Korean medicine theory through it. We believe that a drug-centered approach employing network pharmacology will provide an advanced scientific understanding of Korean medicine theory and contribute to its development by generating biologically plausible hypothesis.

네트워크 모델을 통한 상한론(傷寒論) 구조분석 연구 - 태양병(太陽病) 증상(症狀)-처방(處方)을 중심으로 - (A Structural Analysis of Sanghanron by Network Model - Centered on Symptoms and Herbs of Taeyangbyung Compilation in Sanghanron -)

  • 홍대기;육순형;김민용;박영재;오환섭;남동현;박영배
    • 대한한의학회지
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    • 제32권1호
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    • pp.56-66
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    • 2011
  • Background: This was a study to analyze Sanghanron through network theory, as the first attempt to construct network models for systems biomedicine in traditional Korean medicine. For this purpose, we investigated the network structure with priority given to two-node connections between symptoms and herbs of Taeyangbyung compilation in Sanghanron. Purpose: We had three goals in carrying out this study. First, to establish the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron. Second, to make index files for the obtained data sets. Third, to generate a network structure for systems biomedicine in this part, and analyze its relationship. Methods: Using MS office Excel and Netminer software, we constructed the minimum clinical grouping data sets and the network for systems biomedicine about symptoms and herbs of Taeyangbyung compilation in Sanghanron, and analyzed its relationship. Results: We established the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron, using MS Excel. We constructed a network to structurize our database through two-node connections of Netminer program, and analyzed its relationships. Conclusions: Further research on network model for systems biomedicine between symptoms and herbs for three Yang and three Um(Taeyang, Soyang, Yangmyung, Taeum, Soum, Gualum) disease compilation is necessary.

사회적 지지, 사회 조직망과 건강행태의 관련성 (Relationships between Social Support & Social Network and Health Behavior)

  • 박준;강길원;탁양주;장성훈;이건세;김형수
    • 보건행정학회지
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    • 제21권4호
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    • pp.493-510
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    • 2011
  • Objectives : This study aims to explore how social support and social network are related with health behavior. Methods : The target population was 12,449 people in Chungcheongbuk-do. The sample was accrued for the period of 3 months in 2008 by face to face interview of direct visiting from systematic sampling method. The instruments used in this study were social support, social network and health behavior. Results : There was significant difference in the level of social support and social network by sex, age, educational level, occupation, and monthly income(p<0.05). There was significant difference in the level of social support by alcohol drinking, physical exercise. There was significant difference in the level of social network by smoking, alcohol drinking, physical exercise, obesity(p<0.05). Multivarite analysis shows significant difference in the level of social instrumental support by smoking, physical exercise. It shows significant difference in the level of social emotional support by smoking. It also shows significant difference in the level of social network by smoking, physical exercise. Conclusion : These results suggest that social support and social network may be associated with health behavior. Because this study was cross sectional research, the order was not found between social support, social network and health behavior. Through a study on monitoring, we will obtain more information for relationship.