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

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

Background: An unbiased assessment of clinical outcomes may provide greater insight into the characteristics of individual acupoints. In this study, we used machine-learning methods to examine clinical trial data for diseases treated using prescribed five-phase acupoint patterns. Methods: We perform...

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Bibliographic Details
Main Authors: Seoyoung Lee, Yeonhee Ryu, Hi-Joon Park, In-Seon Lee, Younbyoung Chae
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Integrative Medicine Research
Subjects:
Acupoint indication
Clinical trials
Clustering
Data mining
Multidimensional scaling
Online Access:http://www.sciencedirect.com/science/article/pii/S2213422021001165

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http://www.sciencedirect.com/science/article/pii/S2213422021001165

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