Literature DB >> 19873923

[Differences in thinking model of treatment based syndrome differentiation between acu-moxibustion and internal medicine of TCM].

Yu-ying Cai1, Bao-yan Liu, Zhi-shun Liu.   

Abstract

The founding of clinical syndrome differentiation treatment system for acu-moxibustion is an important issue for the development of clinical acupuncture practices, and it has attracted extensive attention in the domestic and overseas circles in acu-moxibustion field. At present, the syndrome differentiation treatment system of internal medicine of TCM is literally carried out in clinical acu-moxibustion practices, syndrome differentiation according to zang-fu is used instead of syndrome differentiation according to meridian, hence, it is difficult to reflect the features and advantages of acupuncture and moxibustion. Although the goals of acu-moxibustion and Chinese herbal medicine treatments are consistent, but the methods and approaches of the treatment are different. Therefore, the syndrome differentiation treatment system are not in concordance. Acu-moxibustion has gradually established unique thinking model of treatment based syndrome differentiation including principle, methods, prescription, points and technique which are different from principle, methods, prescription and drugs of internal medicine of TCM.

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Year:  2009        PMID: 19873923

Source DB:  PubMed          Journal:  Zhongguo Zhen Jiu        ISSN: 0255-2930


  2 in total

1.  Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine.

Authors:  Taehyung Lee; Won-Mo Jung; In-Seon Lee; Ye-Seul Lee; Hyejung Lee; Hi-Joon Park; Namil Kim; Younbyoung Chae
Journal:  Evid Based Complement Alternat Med       Date:  2014-12-09       Impact factor: 2.629

2.  Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System.

Authors:  Won-Mo Jung; Taehyung Lee; In-Seon Lee; Sanghyun Kim; Hyunchul Jang; Song-Yi Kim; Hi-Joon Park; Younbyoung Chae
Journal:  Evid Based Complement Alternat Med       Date:  2015-10-11       Impact factor: 2.629

  2 in total

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