A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application-Reference-Cited by-同舟云学术

A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application

Published:2021-03-09 Issue: Volume:2021 Page:1-8
ISSN:1741-4288
Container-title:Evidence-Based Complementary and Alternative Medicine
language:en
Short-container-title:Evidence-Based Complementary and Alternative Medicine

Author:

Song Yujuan¹^ORCID,Zhao Bin²,Jia Jun¹,Wang Xuebing³,Xu Sibai¹,Li Zhenjing³⁴,Fang Xu⁵^ORCID

Affiliation:

1. TCM Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China

2. Rehabilitation Department, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang, China

3. Rehabilitation Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China

4. Rehabilitation Department, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover 30625, Germany

5. Human Resources Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China

Abstract

In 1979, the first computer program for TCM diagnosis was launched, although this time was about 30 years after artificial intelligence (AI) came into being and began to be widely used. However, an endless stream of artificial intelligence methods was applied in the field of Chinese medicine research, expert system, artificial neural network, data mining, and multivariate analysis; not limited to what was mentioned, this study tried to make a review on application of AI to TCM syndrome differentiation, while summarizing the artificial intelligence application of TCM syndrome differentiation in the current context. It also provides a theoretical background for the upcoming fully automated research on TCM syndrome differentiation and diagnosis robot.

Funder

Shenzhen Longhua District High-Level Medical Team Project

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

Link

http://downloads.hindawi.com/journals/ecam/2021/6654545.pdf

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