Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model-Reference-Cited by-同舟云学术

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Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model

Published:2018-04-12 Issue:1 Volume:13 Page:112-120
ISSN:2095-0217
Container-title:Frontiers of Medicine
language:en
Short-container-title:Front. Med.

Author:

Jung Won-Mo,Park In-Soo,Lee Ye-Seul,Kim Chang-Eop,Lee Hyangsook,Hahm Dae-Hyun,Park Hi-Joon,Jang Bo-Hyoung,Chae Younbyoung

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11684-017-0582-z.pdf

Reference39 articles.

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3. Hua B, Abbas E, Hayes A, Ryan P, Nelson L, O’Brien K. Reliability of Chinese medicine diagnostic variables in the examination of patients with osteoarthritis of the knee. J Altern Complement Med 2012; 18(11): 1028–1037

4. Chang CM, Chu HT, Wei YH, Chen FP, Wang S, Wu PC, Yen HR, Chen TJ, Chang HH. The core pattern analysis on Chinese herbal medicine for Sjögren’s syndrome: a nationwide population-based study. Sci Rep 2015; 5(1): 9541

5. Kang H, Zhao Y, Li C, Chen Y, Tang K, Yang L, Ma C, Peng J, Zhu R, Liu Q, Hu Y, Cao Z. Integrating clinical indexes into fourdiagnostic information contributes to the traditional Chinese medicine (TCM) syndrome diagnosis of chronic hepatitis B. Sci Rep 2015; 5(1): 9395

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