Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world-Reference-Cited by-同舟云学术

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Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world

Published:2020-05-29 Issue:22 Volume:99 Page:e20316
ISSN:0025-7974
Container-title:Medicine
language:en
Short-container-title:

Author:

Ye Hua,Gao Yuan,Zhang Ye,Cao Yue,Zhao Liang,Wen Li,Wen Chuanbiao

Funder

National Key R&D Program of China

Science and technology planning project of Sichuan province

Innovation program in Chengdu University of Traditional Chinese Medicine

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference25 articles.

1. Traditional Chinese medicine, food therapy, and hypertension control: a narrative review of Chinese literature;Zou;Am J Chin Med,2016

2. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines;Li;BMC Complement Altern Med,2012

3. New development in traditional Chinese medicine: symbolism-digit therapy as a special naturopathic treatment;Li;Am J Chin Med,2016

4. Open complex giant system and traditional Chinese medicine;Wang;Trad Med Modern Med,2018

5. Progress and prospects of research on information processing techniques for intelligent diagnosis of traditional Chinese medicine;Zhou;J Chin Integr Med,2006

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1. Spin practices and low reporting quality in studies on prediction model of diagnosis based on TCM information: A systematic review and evidence mapping;2024-01-03

2. Application Progress of Constant Temperature Thunder Fire Moxibustion in Spleen and Stomach Deficiency and Cold Epigastric Pain;Nursing Science;2024

3. Advances in the Application of Traditional Chinese Medicine Using Artificial Intelligence: A Review;The American Journal of Chinese Medicine;2023-01

4. Machine Learning Approaches in Traditional Chinese Medicine: A Systematic Review;The American Journal of Chinese Medicine;2021-12-02

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