[논문]데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성

최다현; 이서영; 이인선; 류연희; 채윤병

doi:10.14406/acu.2021.007

데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성
Characteristics of Source Acupoints: Data Mining of Clinical Trials Database 원문보기

Korean journal of acupuncture, v.38 no.2, 2021년, pp.100 - 109

최다현 (경희대학교 침구경락융합연구센터) , 이서영 (경희대학교 침구경락융합연구센터) , 이인선 (경희대학교 침구경락융합연구센터) , 류연희 (한국한의학연구원 임상의학부) , 채윤병 (경희대학교 침구경락융합연구센터)

Abstract ▼ AI-Helper

Objectives : Source acupoint is one of the representative acupoints to treat various diseases in each meridian. We aimed to identify the patterns of selection of Source acupoints and their associations with diseases using clinical trials data. Methods : We extracted the frequency of Source acupoints across 30 diseases from clinical trials database. Acupuncture treatment regimens were retrieved from the Cochrane Database of Systematic Reviews. The frequency of Source acupoint use was calculated as the number of studies using a certain acupoint divided by the total number of included studies. Using hierarchical clustering and multidimensional scaling, the characteristics of Source acupoints were analyzed based on the similarity of the relationships between the Source acupoints and the diseases. Results : A total of 421 clinical trials were included for this analysis. LR3, HT7, KI3, and LI4 acupoints were most frequently used for the treatment of 30 diseases. Cluster analysis showed that LR3 and LI4 acupoints were grouped together and HT7 and KI3 acupoints were grouped together. Multidimensional scaling revealed that LR3, LI4, HT7, and KI3 acupoints have intrinsic properties in the two-dimensional space. Conclusions : The present study identified the selection patterns of the Source acupoints using clinical trials data. Our finding will provide the understanding of the characteristics of Source acupoints.

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표/그림 (6)

표 Table 1. List of diseases for analysis
그림 Fig. 1. Data extraction, analysis, and visualization. (A) Data extraction from Cochrane Database Systematic Reviews. The frequency of acupoint use was calculated as the number of studies using a certain acupoint in each study divided by the total number of studies. The frequency of acupoint use was shown to the 361×30 matrix table (361 acupoints and 30 diseases). The 12 Source acupoints data were extracted from a total of 361 acupoints. (B) Correlations between selection patterns of the 12 Source acupoints were calculated. (C) Using hierarchical clustering and multidimensional scaling, the characteristics of Source acupoints were analyzed based on the similarity of the relationships between the Source points and the diseases.
그림 Fig. 2. Comparison of frequency of Source acupoints between Viscera and Bowels system. (A) The frequency of acupoint use was shown to the 361×30 matrix table (361 acupoints and 30 diseases). (B) The 12 Source acupoints data were extracted from a total of 361 acupoints. (C) Source acupoints of Viscera system were significantly more used to treat 30 disease than Source acupoints of Bowels system (t =2.38, p<0.05). Viscera in red, Bowels in blue.
그림 Fig. 3. Correlation analysis of 12 Source acupoints. Correlations between selection patterns of the 12 Source acupoints. Positive correlation in blue and negative correlation in red.
그림 Fig. 4. Cluster analysis of 12 Source acupoints. Using hierarchical clustering, twelve Source acupoints were clustered into three group based on the distribution of Source acupoints indication. LR3 and LI4 acupoints were grouped together (cluster 1, C1 in blue), HT7 and KI3 acupoints were grouped together (cluster 2, C2 in green), and others were grouped together (cluster 3, C3 in red).
그림 Fig. 5. The characteristics of 12 Source acupoints using multidimensional scaling. LR3, LI4, HT7, and KI3 acupoints have intrinsic properties in the twodimensional space. Viscera in red, Bowels in blue.

참고문헌 (20)

Du T, Ren Y, Sun T, Lai Z, Liang F. Exploration of action and significance of yuan-source point for clinical diagnosis based on literature metrology. Zhongguo Zhen Jiu. 2016 ; 36(8) : 831-4. http://doi.org/10.13703/j.0255-2930.2016.08.014

상세보기
Kim SB, Kwon SM, Myoung HS, Lee KJ, Kang HJ, Lim YK, et al. Analysis of Meridian Energy and its Change Pattern with TIme using Measurement of Skin-Capacitance on Source Points. Korean J Acupunct. 2009 ; 26(3) : 1-11.
Chae Y. Past, Present, and the Future of Understanding the Entity of the Meridian System. J Physiol & Pathol Korean Med. 2016 ; 30(6) : 402-11. http://doi.org/10.15188/kjopp.2016.12.30.6.402

원문보기 상세보기
Lee SH, Lee IS, Jo HJ, Jung WM, Lee AR, Kim SY, et al. A History of Visualization for Biomedical Information of Meridian. Korean J Acupunct. 2012 ; 29(3) : 371-84.
Jung WM, Lee T, Lee IS, Kim S, Jang H, Kim SY, et al. Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System. Evid Based Complement Alternat Med. 2015 ; 2015 : 457071. http://doi.org/10.1155/2015/457071

상세보기
Moh HY, Lim GM, Baik JU. A Study on the indications of Five Viscera Source Point Acupuncture extended from Taegeuk Acupuncture: Focused on Yeoungchu. J Korean Med Classics. 2012 ; 25(4) : 123-47.

원문보기 상세보기
Chae Y, Ryu Y, Jung WM. An Analysis of Indications of Meridians in Donguibogam using Data Mining. Korean J Acupunct. 2019 ; 36(4) : 292-9. http://doi.org/10.14406/acu.2019.034

원문보기 상세보기
Lee IS, Chae Y. Identification of major traditional acupuncture points for pain control using network analysis. Acupunct Med. 2020 : 964528420971309. http://doi.org/10.1177/0964528420971309

상세보기
Hwang YC, Lee IS, Ryu Y, Lee YS, Chae Y. Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials. J Clin Med. 2020 ; 9(9) : 3027. http://doi.org/10.3390/jcm9093027

상세보기
Hwang YC, Lee IS, Ryu Y, Lee MS, Chae Y. Exploring traditional acupuncture point selection patterns for pain control: data mining of randomised controlled clinical trials. Acupunct Med. 2020 : 964528420926173. http://doi.org/10.1177/0964528420926173
Borg I, Groenen PJF. Modern Multidimensional Scaling: Theory and Applications. New York: Springer. 2005.
Gaissert N, Wallraven C, Bulthoff HH. Visual and haptic perceptual spaces show high similarity in humans. J Vis. 2010 ; 10 (11): 2. http://doi.org/10.1167/10.11.2

상세보기
Lee BH, Lim SC, Lee KM, Kim JS, Jung TY. A review study on the YugBuHaHapHyul. Korean J Acupunct. 2009 ; 26(3) : 77-85.
Shan Y, Wang ZQ, Zhao ZL, Zhang M, Hao SL, Xu JY, et al. An FMRI study of neuronal specificity in acupuncture: the multiacupoint siguan and its sham point. Evid Based Complement Alternat Med. 2014 ; 2014 : 103491. http://doi.org/10.1155/2014/103491

상세보기
Shin KM, Park JE, Lee S, Choi SM, Ahn YC, Lee JW, et al. Effect of siguan acupuncture on gastrointestinal motility: a randomized, sham-controlled, crossover trial. Evid Based Complement Alternat Med. 2013 ; 2013 : 918392. http://doi.org/10.1155/2013/918392

상세보기
Chae Y, Chang DS, Lee SH, Jung WM, Lee IS, Jackson S, et al. Inserting needles into the body: a meta-analysis of brain activity associated with acupuncture needle stimulation. J Pain. 2013 ; 14(3) : 215-22. http://doi.org/10.1016/j.jpain.2012.11.011

상세보기
Chae Y, Park HJ, Kang OS, Lee HJ, Kim SY, Yin CS, et al. Acupuncture attenuates autonomic responses to smoking-related visual cues. Complement Ther Med. 2011 ; 19 Suppl 1 : S1-7. http://doi.org/10.1016/j.ctim.2010.09.003

상세보기
Li CR, Cheng ZD, Zhang ZX, Kim A, Ha JM, Song YY, et al. Effects of acupuncture at Taixi acupoint (KI3) on kidney proteome. Am J Chin Med. 2011; 39(4) : 687-92. http://doi.org/10.1142/S0192415X11009123

상세보기
Park HJ, Chae Y, Jang J, Shim I, Lee H, Lim S. The effect of acupuncture on anxiety and neuropeptide Y expression in the basolateral amygdala of maternally separated rats. Neurosci Lett. 2005 ; 377(3) : 179-84. http://doi.org/10.1016/j.neulet.2004.11.097

상세보기
Zhu B, Wang Y, Zhang G, Ouyang H, Zhang J, Zheng Y, et al. Acupuncture at KI3 in healthy volunteers induces specific cortical functional activity: an fMRI study. BMC Complement Altern Med. 2015 ; 15 : 361. http://doi.org/10.1186/s12906-015-0881-3

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데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성
Characteristics of Source Acupoints: Data Mining of Clinical Trials Database 원문보기

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데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성 Characteristics of Source Acupoints: Data Mining of Clinical Trials Database 원문보기

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데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성
Characteristics of Source Acupoints: Data Mining of Clinical Trials Database 원문보기

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