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| Application of data mining in diagnosis of traditional Chinese medicine based on bibliometric analysis |
| Hits 1081 Download times 594 Received:October 15, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI
10.11656/j.issn.1672-1519.2021.02.02 |
| Key Words
data mining;traditional Chinese medicine diagnosis;knowledge map;CiteSpace;VOSviewer;bibliometrics;development trend |
| Author Name | Affiliation | E-mail | | XIA Shujie | Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
Fujian Key Laboratory of Traditional Chinese Medicine Health State, Fuzhou 350122, China | | | YANG Zhaoyang | Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
Fujian Key Laboratory of Traditional Chinese Medicine Health State, Fuzhou 350122, China | | | LIN Xuejuan | Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China | | | LI Shunan | College of TCM, Hunan University of Chinese Medicine, Changsha 410208, China | | | WANG Yang | Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China | | | LI Candong | Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
Fujian Key Laboratory of Traditional Chinese Medicine Health State, Fuzhou 350122, China | fjzylcd@126.com |
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| Abstract
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| In order to systematically explore the scientific research output,research subjects and the evolution path and frontier hot issues of the application of data mining in the field of traditional Chinese medicine(TCM) diagnostics,this study takes CNKI China Journal Database as the data source,collects relevant literature in this field from the establishment of the database to 2019. The scientific metrology software Citepace and VOSviewer were used to draw a visual knowledge map. It is found that the growth of this research field has experienced the origin,exploration,development,platform and new development stage in turn,and scholars' attention to this field is on the rise in general. At present,there are 35 high-yield authors in this field,and the journals are mainly the core journals in the field of TCM. Shanghai University of Traditional Chinese Medicine,Beijing University of Chinese Medicine and Hunan University of Chinese Medicine have the most scientific research output. There arefour main clusters of research topics:computer and TCM syndrome differentiation and treatment,data mining and disease medication law,TCM quantitative diagnosis,artificial intelligence and TCM four diagnosis. The main research topics have developed from the early application of computer-aided diagnosis,mathematical model,quantitative diagnosis,syndrome differentiation and so on in the TCM diagnosis to data mining,association rules,traditional Chinese medicine,fuzzy mathematics,medication law,clustering algorithm,big data,state identification,famous and old traditional Chinese Medicine in recent years. Especially in the era of Internet+ and “healthy China”,TCM diagnoses have new connotation. Based on the thinking of TCM and the experience of famous doctors,giving full play to the advantages of data mining and exploring the rule of healthy big data in the real world of TCM has become a new hot spot. |
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