Article Details

Abstract

The application and progress of data mining methods in Traditional Chinese Medicine(TCM) treatment of lung cancer are analyzed by literature analysis, which provides references and insights for further application of data mining methods in TCM treatment of lung cancer. Multiple theme words such as “data mining” “TCM treatment of lung cancer” “Chinese herbal medicine” and “lung cancer”, are used to search for relevant literature in China National Knowledge Infrastructure, Wanfang, VIP and other retrieval platforms from the establishment of the database to December 2024, and a literature database is established. After screening, duplicate and invalid literature are removed, the retrieved literature are collated and analyzed. A total of 212 effective papers are included, which mainly introduce the commonly used mining methods and application subfields. The commonly used data analysis methods include frequency analysis, association rules analysis, cluster analysis, factor analysis, etc. The results of the study show that data mining methods are widely used in the field of TCM treatment of lung cancer, which provides effective tools for the development of TCM treatment of lung cancer. In future research, the integration of multiple data mining algorithms should be adopted, which can surely accelerate the speed of analysis and improve the level of research results.

Keywords

data mining; lung cancer; Traditional Chinese Medicine; medication regimen; literature analysis method

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Funding

National Natural Science Foundation of China (82360992); Key Research Laboratory of Cancer Formula and Syndrome Information Data Mining, Jiangxi Provincial Administration of Traditional Chinese Medicine (ZDYJS20202202); Key Project of Science and Technology Plan of Jiangxi Provincial Administration of Traditional Chinese Medicine (2022Z007)

About the authors

Zhang Xinyou (1962-), male, Han ethnicity, from De'an, Jiangxi, professor, doctoral supervisor, PhD, research direction: research on traditional Chinese medicine information; Corresponding author: Zhou Xiaoling (1992-), female, Han ethnicity, from Zhongxiang, Hubei Province, China. She is a clerk and holds a PhD. Her research focuses on the study of traditional Chinese medicine information.