Literature DB >> 33763146

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

Yujuan Song1, Bin Zhao2, Jun Jia1, Xuebing Wang3, Sibai Xu1, Zhenjing Li3,4, Xu Fang5.   

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.
Copyright © 2021 Yujuan Song et al.

Entities:  

Year:  2021        PMID: 33763146      PMCID: PMC7963904          DOI: 10.1155/2021/6654545

Source DB:  PubMed          Journal:  Evid Based Complement Alternat Med        ISSN: 1741-427X            Impact factor:   2.629


  2 in total

Review 1.  Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine for Type 2 Diabetes: A Text Mining Analysis.

Authors:  Zhili Dou; Ye Xia; Jiawei Zhang; Yizhen Li; Yunan Zhang; Lei Zhao; Zhe Huang; Haonan Sun; Lin Wu; Dongran Han; Yixing Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-23       Impact factor: 5.555

2.  The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review.

Authors:  Hongmin Chu; Seunghwan Moon; Jeongsu Park; Seongjun Bak; Youme Ko; Bo-Young Youn
Journal:  Front Pharmacol       Date:  2022-04-01       Impact factor: 5.988

  2 in total

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