A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application. (9th March 2021)
- Record Type:
- Journal Article
- Title:
- A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application. (9th March 2021)
- Main Title:
- A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application
- Authors:
- Song, Yujuan
Zhao, Bin
Jia, Jun
Wang, Xuebing
Xu, Sibai
Li, Zhenjing
Fang, Xu - Other Names:
- Si Wen Academic Editor.
- Abstract:
- 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.
- Is Part Of:
- Evidence-based complementary and alternative medicine. Volume 2021(2021)
- Journal:
- Evidence-based complementary and alternative medicine
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-09
- Subjects:
- Alternative medicine -- Periodicals
615.505 - Journal URLs:
- http://ecam.oupjournals.org ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/241/ ↗
http://www.hindawi.com/journals/ecam/ ↗ - DOI:
- 10.1155/2021/6654545 ↗
- Languages:
- English
- ISSNs:
- 1741-427X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3831.036630
British Library HMNTS - ELD Digital store - Ingest File:
- 16206.xml