Diversity of Acupuncture Point Selections According to the Acupuncture Styles and Their Relations to Theoretical Elements in Traditional Asian Medicine: A Data-Mining-Based Literature Study

Jang, Dongyeop; Oh, Kichang; Jung, Eun-Seo; Cho, Soo-Jin; Lee, Ji Yun; Lee, Yeon-Jae; Kim, Chang-Eop; Yang, In-Jun

doi:10.3390/jcm10102059

Cited by 10 publications

(5 citation statements)

References 40 publications

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“…The points were selected based on Saam acupuncture, which mainly uses five so-called “transport” points located in the distal parts of the four limbs. 10,11 First, acupuncture was applied at ST43, GB41, ST41 and SI5 on the left side for 15 min. Then, acupuncture was applied at HT3, KI10, HT7 and SP3 on the right side, also for 15 min.…”

Section: Methodsmentioning

confidence: 99%

Acupuncture for patients with insomnia and predictors of treatment response: a chart review

Choi,

Yu,

et al. 2023

Acupunct Med

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Background: Acupuncture is a potentially effective non-pharmacological treatment for insomnia. Objective: We observed the responses of patients with insomnia to acupuncture in routine clinical practice. In addition, we explored patient characteristics that might affect the treatment response to acupuncture for insomnia. Methods: Medical records of patients with insomnia in a Korean medicine clinic with baseline Insomnia Severity Index (ISI) scores ⩾8 and Pittsburgh Sleep Quality Index (PSQI) scores ⩾5 were reviewed. Acupuncture was applied at ST43, GB41, ST41, SI5, HT3, KI10, HT7 and ST3, for 1–2 months. The ISI and PSQI were measured monthly to assess insomnia severity. The effect of acupuncture over time was analyzed using a multilevel linear model for repeated measures. In addition, logistic regression was used to explore predictors of treatment response. Results: A total of 91 patients with insomnia aged 59.2 ± 12.5 years (mean ± standard deviation (SD)) (90.1% female) were included in the analysis. After the acupuncture treatment, ISI scores were significantly reduced by −3.75 (95% confidence interval (CI) = −4.99, −2.50) and −4.69 (95% CI = −6.22, −3.16) after the first and second month, respectively. The PSQI global scores also improved, and sleep duration showed a tendency to increase by 0.35 h (95% CI = −0.17, 0.86) after acupuncture treatment. Three cases of mild fatigue were reported. In addition, higher baseline pain/discomfort predicted a greater likelihood of response after acupuncture treatment (odds ratio (OR) = 1.66, 95% CI = 1.10, 2.60). Conclusion: In a real-world setting, the insomnia of outpatients in a clinic was slightly alleviated after acupuncture treatment. These findings require validation by randomized controlled trials.

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Section: Methodsmentioning

confidence: 99%

Acupuncture for patients with insomnia and predictors of treatment response: a chart review

Choi,

Yu,

et al. 2023

Acupunct Med

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“…The method of discovering knowledge can be mathematical or nonmathematical. It can be deductive or inductive [ 26 – 28 ]. The discovered knowledge can manage information management, optimize the query, support decisions, and control processes, among others.…”

Section: Methodsmentioning

confidence: 99%

E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining

2022

Computational Intelligence and Neuroscience

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This study aims to identify e-commerce fraud, solve the financial risks of e-commerce enterprises through big data mining (BDM), further explore more effective solutions through Information fusion technology (IFT), and create an e-commerce fraud detection model (FDM) based on IFT (namely, computer technology (CT), artificial intelligence (AI), and data mining (DM). Meanwhile, BDM technology, support vector machine (SVM), logistic regression model (LRM), and the proposed IFT-based FDM are comparatively employed to study e-commerce fraud risks deeply. Specifically, the LRM can effectively solve data classification problems. The proposed IFT-based FDM fuses different information sources. The experimental findings corroborate that the proposed Business-to-Business (B2B) e-commerce enterprises-oriented IFT-based FDM presents significantly higher fraud identification accuracy than SVM and LRM. Therefore, the IFT-based FDM is superior to SVM and LRM; it can process and calculate e-commerce enterprises' financial risk data from different sources and obtain higher accuracy. BDM technology provides an important research method for e-commerce fraud identification. The proposed e-commerce enterprise-oriented FDM based on IFT can correctly analyze enterprises' financial status and credit status, obtaining the probability of fraudulent behaviors. The results are of great significance to B2B e-commerce fraud identification and provide good technical support for promoting the healthy development of e-commerce.

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“…To determine the prescription law of Dou Hanqing, researchers extracted acupuncture prescriptions from the Guide to Acupuncture Meridians [59] . Jang et al performed a comparative analysis of acupuncture prescriptions for 14 diseases as documented in three seminal classical acupuncture textbooks: Dongeuibogam , Saamdoinchimgooyogyeol , and Chimgoogyeongheombang [60] . These textbooks describe unique acupuncture styles that significantly influenced clinicians during the relevant era.…”

Section: Data-driven Acupuncture Prescription: From Evidence To Practicementioning

confidence: 99%

Intelligent Acupuncture: Data-driven Revolution of Traditional Chinese Medicine

Bao,

Ding,

Zhang

et al. 2023

Acupuncture and Herbal Medicine

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Acupuncture, a form of traditional Chinese medicine with a history of 2000 years in China, has gained wider acceptance worldwide as a complementary therapy. Studies have examined its effectiveness in various health conditions and it is commonly used alongside conventional medical treatments. With the development of artificial intelligence (AI) technology, new possibilities for improving the efficacy and precision of acupuncture have emerged. This study explored the combination of traditional acupuncture and AI technology from three perspectives: acupuncture diagnosis, prescription, and treatment evaluation. The study aimed to provide cutting-edge direction and theoretical assistance for the development of an acupuncture robot.

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Diversity of Acupuncture Point Selections According to the Acupuncture Styles and Their Relations to Theoretical Elements in Traditional Asian Medicine: A Data-Mining-Based Literature Study

Cited by 10 publications

References 40 publications

Acupuncture for patients with insomnia and predictors of treatment response: a chart review

Acupuncture for patients with insomnia and predictors of treatment response: a chart review

E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining

Intelligent Acupuncture: Data-driven Revolution of Traditional Chinese Medicine

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