Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling

Lee, Seo-Young; Ryu, Yeonhee; Park, Hi-Joon; Lee, In-Seon; Chae, Younbyoung

doi:10.1016/j.imr.2021.100829

Cited by 8 publications

(3 citation statements)

References 31 publications

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“…Generally, the greater the distance function, the better the clustering results. Formula (1) is the expression of the K-Means algorithm, and Figure 2 is the model of the algorithm [5][6][7].…”

Section: Common Classification Algorithm Decision Tree Support Vector...mentioning

confidence: 99%

Research on comprehensive evaluation of government economic management performance based on multidimensional data mining

2023

socsam

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The comprehensive evaluation of government economic management performance is of great help to the planning of government economic activities. However, a large amount of data is involved in the comprehensive evaluation, and the data has multidimensional characteristics, so it is suggested to use multidimensional data mining to help the evaluation. This paper first introduces the basic concept of multidimensional data mining technology, and then analyzes the practical application of this technology, hoping to provide reference help.

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Section: Common Classification Algorithm Decision Tree Support Vector...mentioning

confidence: 99%

Research on comprehensive evaluation of government economic management performance based on multidimensional data mining

2023

socsam

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“…Furthermore, subset A includes acupoints that are not solely indicated for local pain. These include major acupoints used not only for the local treatment of acupuncture point pain, but also for remote effects via the meridian system or systemic neurological effects ( Lee and Chae, 2021 ; Lee et al, 2022 ). For example, PC6 located in the forearm area can be frequently used to treat functional gastrointestinal diseases.…”

Section: Introductionmentioning

confidence: 99%

Similarities between Ashi acupoints and myofascial trigger points: Exploring the relationship between body surface treatment points

Lee

Lee²,

Chae³

2022

Front. Neurosci.

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Although acupuncture points and myofascial trigger points (TPs) are based in different medical fields, the two points share important attributes. We explored the relationship between acupuncture points and TPs based on their characteristics and the results of previous studies. We outlined the relationship between acupuncture points and TPs by examining their similarities and differences. Among the acupuncture point subgroups, TPs mostly corresponded to Ashi points. Based on the common features of TPs and Ashi points, we suggest that TPs are more closely related to Ashi points than to other acupoints. However, TPs also share some features, such as pain indication and location, with classical acupuncture points (CA) and extra acupuncture points (EA), which makes it difficult to elucidate their relationship with other subgroups. Therefore, we suggest to understand the relationship of CAs, EAs, Ashi points, and TPs. In this report, we concluded that concerning muscular pain symptoms Ashi points and TPs are indistinguishable.

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“…, TE4(43), Ashi(37), LI10(35), LU10(31), SI5(25), HT7(23), LU5(18), LU8(18), PC5(16), EX-UE8 (14), PC3(12), LU7(11), LU9(11), EX-UE9(11), TE3(10), LU6 (9), HT3 (9), SI4 (8), EX-UE2 (8), PC4 (7), LI6 (6), TE2 (6), SI3 (5), TE10 (5), SI6 (4), ST36(3), LI12 (3), SI8 (3), HT2 (3), HT8 (3), Bizhong (3), EX-UE11 (3), EX-UE10 (3), SI7 (2), HT5 (2), LI2 (1), LI3 (1), LI8 (1), LI13 (1), LI7…”

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A Data Mining Study for Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Carpal Tunnel Syndrome

He,

Miao,

et al. 2024

JPR

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Background: Carpal tunnel syndrome (CTS) is the most prevalent upper limb compressive neuropathy. A considerable number of clinical trials and meta-analyses have provided evidence supporting the effectiveness of acupuncture in treating CTS. Nevertheless, the ideal choice of acupoints remains ambiguous. Objective: A data mining analysis was conducted with the objective of determining the most effective acupoint combinations and selection for CTS. Methods: A search was conducted across seven Chinese and English electronic bibliographic databases spanning from their inception to March 2023. Selected were clinical trials that evaluated the efficacy of acupuncture therapy for CTS, with or without randomised controlled methods. Data extraction mainly included acupoint prescriptions. Information such as first author, study design and study setting were also extracted. The principal outcomes comprised the clinical manifestations linked to CTS. Statistical descriptions were generated using Excel 2019. The analysis of association rules was conducted using SPSS Modeler 18.0. Using SPSS Statistics 26.0, exploratory factor analysis and cluster analysis were conducted. Results: 142 trials (including 86 RCTs and 56 non RCTs) were identified, and 193 groups of effective prescriptions involving 68 acupoints were extracted. The most frequently used acupoints were Da-ling (PC7), Nei-guan (PC6), He-gu (LI4), Wai-guan (TE5), and Yang-xi (LI5). The most frequently used meridians were the pericardial meridian and the large intestine meridian. The majority of special acupoints used were Five-shu points and Yuan-source points, with acupoints on the upper limbs being the most frequently used. The core acupoint groups were analyzed and 11 groups of association rules, 8 factors, and 5 effective cluster groups were obtained. Conclusion:The evidence-based acupoint selection and combinations of acupuncture therapy for carpal tunnel syndrome were provided by the findings of this study.

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Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling

Cited by 8 publications

References 31 publications

Research on comprehensive evaluation of government economic management performance based on multidimensional data mining

Research on comprehensive evaluation of government economic management performance based on multidimensional data mining

Similarities between Ashi acupoints and myofascial trigger points: Exploring the relationship between body surface treatment points

A Data Mining Study for Analysis of Acupoint Selection and Combinations in Acupuncture Treatment of Carpal Tunnel Syndrome

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