ArticleEvidence-based complementary and alternative medicine : eCAM2014
Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine.
Article in Evidence-based complementary and alternative medicine : eCAM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning.Frontiers in physiology · 2025Article
- Diachronic analysis of major acupoints used in ancient and current acupuncture treatments: Changes in main acupoints over time.Integrative medicine research · 2022Article
- 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.Journal of clinical medicine · 2021Article
- Identification of candidate medicinal herbs for skincare via data mining of the classicIntegrative medicine research · 2020Article
- Rubi Fructus Water Extract Alleviates LPS-Stimulated Macrophage Activation via an ER Stress-Induced Calcium/CHOP Signaling Pathway.Nutrients · 2020Article
- Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials.Journal of clinical medicine · 2020Article
- Acupoint selection based on pattern identification results or disease state.Integrative medicine research · 2020Article
- Commonality and Specificity of Acupuncture Point Selections.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Revealing Associations between Diagnosis Patterns and Acupoint Prescriptions Using Medical Data Extracted from Case Reports.Journal of clinical medicine · 2019Article
- Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model.Frontiers of medicine · 2019Article
- Trends in deqi research: a text mining and network analysis.Integrative medicine research · 2018Review
- Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article.Medicine · 2017Observational
- Understanding Mind-Body Interaction from the Perspective of East Asian Medicine.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- The Current Status of Quality of Reporting in Acupuncture Treatment Case Reports: An Analysis of the Core Journal in Korea.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- Historical Medical Value of Donguibogam.Journal of pharmacopuncture · 2016Review
- Effects of herbal medicine on human uterine tumor-bearing nude mice.Journal of intercultural ethnopharmacologyArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Throughout the history of East Asian medicine, different kinds of acupuncture treatment experiences have been accumulated in classical medical texts. Reexamining knowledge from classical medical texts is expected to provide meaningful information that could be utilized in current medical practices. In this study, we used data mining methods to analyze the association between acupoints and patterns of disorder with the classical medical book DongUiBoGam of Korean medicine. Using the term frequency-inverse document frequency (tf-idf) method, we quantified the significance of acupoints to its targeting patterns and, conversely, the significance of patterns to acupoints. Through these processes, we extracted characteristics of each acupoint based on its treating patterns. We also drew practical information for selecting acupoints on certain patterns according to their association. Data analysis on DongUiBoGam's acupuncture treatment gave us an insight into the main idea of DongUiBoGam. We strongly believe that our approach can provide a novel understanding of unknown characteristics of acupoint and pattern identification from the classical medical text using data mining methods.
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Registered trials
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