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Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.
- Source :
-
American Journal of Chinese Medicine . 2024, Vol. 52 Issue 3, p605-623. 19p. - Publication Year :
- 2024
-
Abstract
- Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects. The application and advancement of TCM are, however, constrained by the absence of objective measuring standards due to its relatively abstract diagnostic methods and syndrome differentiation theories. Ongoing developments in machine learning (ML) and deep learning (DL), specifically in computer vision (CV) and natural language processing (NLP), offer novel opportunities to modernize TCM by exploring the profound connotations of its theory. This review begins with an overview of the ML and DL methods employed in TCM; this is followed by practical instances of these applications. Furthermore, extensive discussions emphasize the mature integration of ML and DL in TCM, such as tongue diagnosis, pulse diagnosis, and syndrome differentiation treatment, highlighting their early successful application in the TCM field. Finally, this study validates the accomplishments and addresses the problems and challenges posed by the application and development of TCM powered by ML and DL. As ML and DL techniques continue to evolve, modern technology will spark new advances in TCM. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TONGUE disease diagnosis
*CHINESE medicine
*RANDOM forest algorithms
*HUMAN services programs
*ARTIFICIAL intelligence
*LOGISTIC regression analysis
*NATURAL language processing
*DATA analytics
*SUPPORT vector machines
*DEEP learning
*ARTIFICIAL neural networks
*MACHINE learning
*DECISION trees
*DIGITAL image processing
*PULSE (Heart beat)
*ALGORITHMS
*REGRESSION analysis
*CLOUD computing
Subjects
Details
- Language :
- English
- ISSN :
- 0192415X
- Volume :
- 52
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- American Journal of Chinese Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 177537786
- Full Text :
- https://doi.org/10.1142/S0192415X24500265