• 제목/요약/키워드: Eigenvector methods

검색결과 62건 처리시간 0.03초

골다공증 다빈도 처방과 구성 약물의 네트워크 분석 - 오아시스 검색을 중심으로 (Network Analysis of Herbs that are Frequently Prescribed for Osteoporosis with a Focus on Oasis Platform Research)

  • 신선미;고흥
    • 대한한방내과학회지
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    • 제42권4호
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    • pp.628-644
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    • 2021
  • Objectives: This study analyzed, through network analysis and data mining analysis, the relationship between herbs used in osteoporosis prescriptions, diversified the analysis of osteoporosis-related prescriptions, and analyzed the combination of herbs used in osteoporosis-related prescriptions. Methods: The prescriptions used in osteoporosis treatment and experiments were established by conducting a full survey of the papers published by the OASIS site. A database for osteoporosis-related prescriptions was established, herbs were extracted, and the frequency of frequent herbs and prescriptions were investigated using Excel (MS offices ver. 2013). Using the freeware R version 4.0.3 (2020-10-10), igraph, and arules package, network analysis was performed in the first second of prescription composition. Results: Among the osteoporosis-related prescriptions, the most studied prescriptions are as follows.: Yukmijihwang-tang (六味地黃湯) and Samul-tang (四物湯). In the osteoporosis prescription network, herbs with connection centrality, proximity centrality, mediation centrality, and eigenvector centrality appeared in the order of Rehmanniae Radix Preparata, Angelicae Gigantis Radix, Poria Sclerotium, Paeoniae Radix, and Glycyrrhizae Radix et Rhizoma. After extracting the herbal combination network, including the corresponding herbs, and clustering it, it can be divided into drugs of the Yukmijihwang-tang (六味地黃湯) series and the Samul-tang (四物湯). Conclusions: This study could assist researchers in diversifyingy formula analysis in future studies. Moreover, the herbal combination used in osteoporosis prescriptions could be used to search for osteoporosis prescriptions in other databases or to create a new prescription.

텍스트네트워크분석을 적용한 통증관리 간호연구의 지식구조 (Identification of Knowledge Structure of Pain Management Nursing Research Applying Text Network Analysis)

  • 박찬숙;박은준
    • 대한간호학회지
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    • 제49권5호
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    • pp.538-549
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    • 2019
  • Purpose: This study aimed to explore and compare the knowledge structure of pain management nursing research, between Korea and other countries, applying a text network analysis. Methods: 321 Korean and 6,685 international study abstracts of pain management, published from 2004 to 2017, were collected. Keywords and meaningful morphemes from the abstracts were analyzed and refined, and their co-occurrence matrix was generated. Two networks of 140 and 424 keywords, respectively, of domestic and international studies were analyzed using NetMiner 4.3 software for degree centrality, closeness centrality, betweenness centrality, and eigenvector community analysis. Results: In both Korean and international studies, the most important, core-keywords were "pain," "patient," "pain management," "registered nurses," "care," "cancer," "need," "analgesia," "assessment," and "surgery." While some keywords like "education," "knowledge," and "patient-controlled analgesia" found to be important in Korean studies; "treatment," "hospice palliative care," and "children" were critical keywords in international studies. Three common sub-topic groups found in Korean and international studies were "pain and accompanying symptoms," "target groups of pain management," and "RNs' performance of pain management." It is only in recent years (2016~17), that keywords such as "performance," "attitude," "depression," and "sleep" have become more important in Korean studies than, while keywords such as "assessment," "intervention," "analgesia," and "chronic pain" have become important in international studies. Conclusion: It is suggested that Korean pain-management researchers should expand their concerns to children and adolescents, the elderly, patients with chronic pain, patients in diverse healthcare settings, and patients' use of opioid analgesia. Moreover, researchers need to approach pain-management with a quality of life perspective rather than a mere focus on individual symptoms.

고관절 골절 수술 후 한의 입원치료 효과 및 다빈도 처방 약재 네트워크 분석 (The Effect of Traditional Korean Medicine Treatment and Herbal Network Analysis in Postoperative Hip Fracture Inpatients)

  • 오지홍;이명종;김호준
    • 한방재활의학과학회지
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    • 제32권3호
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    • pp.119-129
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    • 2022
  • Objectives This study aimed to evaluate the effects of Integrative treatment of traditional Korean medicine (TKM) on 7 hospitalized patients after hip fracture surgery, and to identify significant herbs and co-prescribed herbs by using network analysis and association rule mining. Methods A retrospective chart review of the 7 hospitalized patients treated for postoperative hip fractures between January and December 2021 was performed. All TKM treatments for the patients were identified and Wilcoxon signed-rank test was performed to compare hip pain and mobility on admission and discharge. We visualized the network of herbal medicines and complications. By using network analysis, we also identified the significant herbs (high centrality of degree, eigenvector, and sub-graph). Co-prescription patterns for the hip fracture patients were further analyzed by association rule mining. Results We found that TKM treatment significantly relieved hip pain and improved mobility. Accompanying symptoms reported by the patients were general weakness, anorexia, dizziness, delirium, edema, sputum, sore throat, cough, rhinorrhea, and chills. Herbs composed of Sagunja-tang and Samul-tang showed high centralities and high associations with other herbs. In addition, Gupan, Nokyong, Yukjongyong, Useul, and Hyunhosaek were identified as important herbs for postoperative hip fracture patients. Conclusions This study provides evidence for clinical TKM use as an effective postoperative treatment for pain relief and improvement of mobility in patients with hip fractures. In addition, herbs that can be considered in the treatment of patients after hip fracture surgery were identified through network analysis and association rule mining.

Is Text Mining on Trade Claim Studies Applicable? Focused on Chinese Cases of Arbitration and Litigation Applying the CISG

  • Yu, Cheon;Choi, DongOh;Hwang, Yun-Seop
    • Journal of Korea Trade
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    • 제24권8호
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    • pp.171-188
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    • 2020
  • Purpose - This is an exploratory study that aims to apply text mining techniques, which computationally extracts words from the large-scale text data, to legal documents to quantify trade claim contents and enables statistical analysis. Design/methodology - This is designed to verify the validity of the application of text mining techniques as a quantitative methodology for trade claim studies, that have relied mainly on a qualitative approach. The subjects are 81 cases of arbitration and court judgments from China published on the website of the UNCITRAL where the CISG was applied. Validation is performed by comparing the manually analyzed result with the automatically analyzed result. The manual analysis result is the cluster analysis wherein the researcher reads and codes the case. The automatic analysis result is an analysis applying text mining techniques to the result of the cluster analysis. Topic modeling and semantic network analysis are applied for the statistical approach. Findings - Results show that the results of cluster analysis and text mining results are consistent with each other and the internal validity is confirmed. And the degree centrality of words that play a key role in the topic is high as the between centrality of words that are useful for grasping the topic and the eigenvector centrality of the important words in the topic is high. This indicates that text mining techniques can be applied to research on content analysis of trade claims for statistical analysis. Originality/value - Firstly, the validity of the text mining technique in the study of trade claim cases is confirmed. Prior studies on trade claims have relied on traditional approach. Secondly, this study has an originality in that it is an attempt to quantitatively study the trade claim cases, whereas prior trade claim cases were mainly studied via qualitative methods. Lastly, this study shows that the use of the text mining can lower the barrier for acquiring information from a large amount of digitalized text.

데이터마이닝과 네트워크분석을 통한 팔맥교회혈의 배합 패턴 연구 (Eight Confluent Acupoint Combinations Patterns: Data Mining and Network Analysis)

  • 권민정;윤다은;문희영;류연희;이인선;채윤병
    • Korean Journal of Acupuncture
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    • 제40권4호
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    • pp.177-183
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    • 2023
  • Objectives : One of the crucial combinations of acupoints for treating various disorders involves the Eight Confluent acupoints. The present study aims to investigate the selection patterns of the Eight Confluent acupoints in clinical trials and determine the most frequent pairings through network analysis. Methods : The frequencies of the Eight Confluent acupoints were extracted from the Acusynth database, which includes data from 421 clinical investigations. We examined the degree distribution, eigenvector centrality, proximity centrality, and betweenness centrality of these acupoint combinations using network analysis. Results : Data mining revealed that among the Eight Confluent acupoints, PC6 and TE5 were the most commonly applied in the treatment of 30 disorders. Additionally, we identified the most frequently co-occurring pairs of Eight Confluent acupoints by network analysis which included PC6-GV20, SP4-GV4, LU7-LI4, TE5-PC7, GB41-SP6, KI6-BL62, and SI3-BL62. Conclusions : Through the application of data mining and network analysis, we have elucidated the selection patterns and combinations of the Eight Confluent acupoints. These findings provide valuable insights that can enhance doctors' understanding of clinical database-driven Eight Confluent acupoint selection patterns.

간호관련 국민청원 분석: 텍스트네트워크 분석 및 토픽모델링 (National Petition Analysis Related to Nursing: Text Network Analysis and Topic Modeling)

  • 고현정;정석희;이은지;김희선
    • 대한간호학회지
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    • 제53권6호
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    • pp.635-651
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    • 2023
  • Purpose: This study aimed to identify the main keyword, network structure, and main topics of the national petition related to "nursing" in South Korea. Methods: Data were gathered from petitions related to the national petition in Korea Blue House related to the topic "nursing" or "nurse" from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program. Results: Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as "work environment," "nursing university," "license," and "education" appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) "Improving the working environment and dealing with nursing professionals," (2) "requesting investigation and punishment related to medical accidents," (3) "requiring clear role regulation and legislation of medical and nonmedical professions," and (4) "demanding improvement of healthcare-related systems and services." Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.

반경험적 분자궤도함수 계산법에 의한 ${\pi}$-비결합 및 ${\sigma}$-컨쥬게이션 상호작용에 관한 연구 (Semi-Empirical MO Calculations on ${\pi}$-Nonbonded and ${\sigma}$-Conjugative Interactions)

  • 이익춘;전용구;양기열;김왕기
    • 대한화학회지
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    • 제26권4호
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    • pp.195-204
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    • 1982
  • n-부탄, n-부틸 라디칼, 그리고 테트라메틸렌 디라디칼(3중항)의 여러 기하학적 구조에 관하여 STO-3G 방법으로 얻은 고유값 및 고유함수 성질들을 반경험적인 MO계산으로 얻은 결과와 비교하여 보기 위하여 EHT, CNDO/2, MINDO/3, 그리고 MNDO계산을 수행하였다. 그 결과 n-부탄의 여러 형태에 대한 안정성 순서는 모든 방법에서 같았으며 일전자에너지항에 의존하였고 ${\pi}$-오비탈에너지 변화는 반경험적 계산에서 훨씬 중요함을 알았다. $(n-{\sigma}^{\ast})_{trans}$에서 $(n-{\sigma}{\ast})_{cis}$로 구조가 바뀔때 수반되는 hyperconjugation 에너지 변화는 EHT, CNDO/2, MINDO/3 계산에서 작게 계산된 반면에 MNDO 계산에서는 크게 계산되었다. 주로 $(n-{\sigma}{\ast})_{trans}$의 구조에 수반되는 매우 큰 핵간 반발에너지 때문에 $(n-{\sigma}{\ast})_{trans}$는 알짜 불안정화 효과를 나타내었다. Through-space 상호작용으로 디라디칼의 $n_1$$n_2$ 오비탈간의 에너지 차이 ${\Delta}E-{sp}$${\Delta}{\varepsilon}={\varepsilon}_0$-${\varepsilon}_{av}$를 작게함을 알았다 : through-space 상호작용은 through-bond 상호작용과 반대의 효과를 나타내었다. 비교적 심하지 않은 NDO 근사를 사용한 MNDO법에서는 이러한 에너지 차이가 작아지는 효과가 확대되어 나타났다. 특히 ${\sigma}-{\sigma}{\ast}$$n-{\sigma}{\ast}$ 상호작용이 수반되는 경우에서는 일반적으로 반경험적 방법으로 계산한 오비탈 성질들은 STO-3G 방법으로 계산한 결과와 만족스럽게 일치 하였으나 고유값에 관여된 성질들은 만족스럽지 못함을 알았다.

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Software development for the visualization of brain fiber tract by using 24-bit color coding in diffusion tensor image

  • Oh, Jung-Su;Song, In-Chan;Ik hwan Cho;Kim, Jong-Hyo;Chang, Kee-Hyun;Park, Kwang-Suk
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2002년도 제7차 학술대회 초록집
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    • pp.133-133
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    • 2002
  • Purpose: The purpose of paper is to implement software to visualize brain fiber tract using a 24-bit color coding scheme and to test its feasibility. Materials and Methods: MR imaging was performed on GE 1.5 T Signa scanner. For diffusion tensor image, we used a single shot spin-echo EPI sequence with 7 non-colinear pulsed-field gradient directions: (x, y, z):(1,1,0),(-1,1,0),(1,0,1),(-1,0,1),(0,1,1),(0,1,-1) and without diffusion gradient. B-factor was 500 sec/$\textrm{mm}^2$. Acquisition parameters are as follows: TUTE=10000ms/99ms, FOV=240mm, matrix=128${\times}$128, slice thickness/gap=6mm/0mm, total slice number=30. Subjects consisted of 10 normal young volunteers (age:21∼26 yrs, 5 men, 5 women). All DTI images were smoothed with Gaussian kernel with the FWHM of 2 pixels. Color coding schemes for visualization of directional information was as follows. HSV(Hue, Saturation, Value) color system is appropriate for assigning RGB(Red, Green, and Blue) value for every different directions because of its volumetric directional expression. Each of HSV are assigned due to (r,$\theta$,${\Phi}$) in spherical coordinate. HSV calculated by this way can be transformed into RGB color system by general HSV to RGB conversion formula. Symmetry schemes: It is natural to code the antipodal direction to be same color(antipodal symmetry). So even with no symmetry scheme, the antipodal symmetry must be included. With no symmetry scheme, we can assign every different colors for every different orientation.(H =${\Phi}$, S=2$\theta$/$\pi$, V=λw, where λw is anisotropy). But that may assign very discontinuous color even between adjacent yokels. On the other hand, Full symmetry or absolute value scheme includes symmetry for 180$^{\circ}$ rotation about xy-plane of color coordinate (rotational symmetry) and for both hemisphere (mirror symmetry). In absolute value scheme, each of RGB value can be expressed as follows. R=λw|Vx|, G=λw|Vy|, B=λw|Vz|, where (Vx, Vy, Vz) is eigenvector corresponding to the largest eigenvalue of diffusion tensor. With applying full symmetry or absolute value scheme, we can get more continuous color coding at the expense of coding same color for symmetric direction. For better visualization of fiber tract directions, Gamma and brightness correction had done. All of these implementations were done on the IDL 5.4 platform.

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언어 네트워크를 이용한 야외지질답사 관련 연구 동향 분석: 최근 21년(2000~2020년)을 중심으로 (Research Trends of Studies Related to the Geological Fieldwork Using Semantic Network Analysis: Focused on the Last 21 Years(2000-2020))

  • 정동권
    • 대한지구과학교육학회지
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    • 제14권2호
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    • pp.173-192
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    • 2021
  • 본 연구는 야외지질답사에 관하여 2000년부터 2020년까지 선행된 연구를 분석함으로써 그 동안 이루어진 연구가 중점을 둔 과제를 살펴보고 이를 통해 앞으로 야외지질답사 연구의 방향과 시사점을 제시하고자 하는 목적을 지닌다. 자료 수집은 야외지질답사와 관련하여 ScienceON과 RISS에서 검색되는 학위논문, KCI 등재 학술지를 대상으로 이루어졌으며, 연구 제목에 대하여 언어 네트워크 방법을 이용하여 분석하였다. 분석은 전처리를 마친 자료를 언어 네트워크 방법으로 네트워크를 나타내어 시각화하고 빈도수와 중심성 분석을 실시하였다. 중심성 분석은 연결 중심성과 위세 중심성을 바탕으로 하였으며, 모든 분석은 전체 연구 기간과 2000년-20005년, 2006년-2010년, 2011년-2015년, 2016년-2020년으로 4개의 기간을 나누어 이루어졌다. 그 결과, 야외지질답사에 관한 연구는 야외지질학습장 개발에 보다 중점을 두고 있었으며, 특히 제주도가 학습장으로서 활발한 논의가 이루어졌다. 또한, 교사 보다는 학생을 대상으로 연구가 이루어졌으며, 이중 고등학생이 높은 빈도와 중심성을 나타내었다. 이외에도 야외지질답사의 교육적 효과에 관한 연구와 융합인재교육, 자유학기제 등과 같은 프로그램과 연계하거나 웹, 플래시 파노라마, 3D와 같이 간접적인 지질 답사 방안도 논의가 이루어졌음을 알 수 있다. 본 연구는 그 동안 이루어진 야외지질답사에 관한 연구를 되돌아봄으로써 향후 연구의 방향성을 시사하였다는 점에서 의의가 있다.

사회연결망분석을 통한 샐러드 구매자 유형 및 구매행태 분석 (Analysis of Salad Purchaser Types and Purchasing Behaviors through Social Network Analysis)

  • 하지영;임세화
    • 품질경영학회지
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    • 제50권2호
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    • pp.287-304
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    • 2022
  • Purpose: The size of the salad consumption market has expanded since Covid-19, and continuous growth is predicted. Therefore, by extracting influential core purchasers in the salad consumption market and analyzing their purchasing behaviors and consumer types, this study intended to provide basic data for establishing a marketing strategy. Methods: The analysis data is the purchasing data of 576 people who have purchased salads between 2016 and 2020 (panel data of the Rural Development Administration), and in the social network analysis, the centrality structure was analyzed. Results: First, in the results of analyzing the causes of the rapid increase in salad consumption in 2020, it was found that the increase in consumption of new purchasers (n=102) had little effect. The existing consumer type (n = 474), which has been the majority of the salad consumption market so far, were consumers with stable income. However, the results of study indicated that the type of consumers has expanded since low-income class as well as high-income class increased consumption of purchasing salad. Second, in the results of analyzing the types of key purchasers with great influence in the salad consumption market, there was a difference from the results of frequency analysis in age, number of family members, existence/absence of children, and income decile. This suggests that there should be a difference between the type of customers according to the apparent quantitative figure and the actual influential purchasers. Third, in the results of analyzing the salad purchasing behaviors of core purchasers, the purchasing site for existing purchasers was large-scale marts and for new purchasers it was corporate-type supermarkets. Purchases were concentrated on Saturdays for both existing and new purchasers. As for the purchased products, existing purchasers had a high preference for products made of chicken, and new purchasers had a high preference for vegetable/fruit salad. In particular, in the results of purchased products by age group, in the case of 50s and 60s, it was an interesting result that there was a difference between the products purchased by the existing and new purchasers even though they were the same age. Conclusion: When establishing a marketing strategy in the salad consumption market, it is necessary to pay attention to the purchasing behavior of key buyers.