Machine Learning Research Trends in Traditional Chinese Medicine: A Bibliometric Review
Jiekee Lim, Jieyun Li, Mi Zhou, Xinang Xiao, Zhaoxia Xu · 2024
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Description
Jiekee Lim and co-authors chart machine learning's spread through traditional Chinese medicine in a 2024 review. The old practice is pairing with modern algorithms for diagnosis and treatment. A bibliometric method counts and maps the papers rather than testing remedies.
Four hundred seventy-four documents from a major citation index were mapped. Output climbed steeply from 2000 to 2023, with China leading in volume and impact. Two Chinese institutions topped the institution list. Hot topics were machine-aided diagnosis, network pharmacology, and tongue diagnosis. Chemometric checks for product quality also drew heavy work. The authors see gains in personal care and quality control, and ask for clearer models and wider teamwork.
Catalog record
| CREATOR | Jiekee Lim, Jieyun Li, Mi Zhou, Xinang Xiao, Zhaoxia Xu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |