Research on one-stop traditional Chinese medicine service system based on character recognition
In recent years, China has introduced numerous policies aimed at fostering the growth of the traditional Chinese medicine (TCM) industry. Concurrently, the enrichment of TCM healthcare resources has s purred an increase in demand for TCM services. To address the needs of TCM practitioners and to offer the public more high-quality, precise, and intelligent TCM services, we have designed a comprehensive WeChat applet for TCM services that incorporates text recognition technology. This applet leverages text recognition to analyze the ingredients listed in prescriptions and employs a cold extraction method to prepare Chinese patent medicines, thereby reducing the cost of TCM treatments for consumers. Developed using the WeChat developer tool, the applet boasts a user-friendly interface and a suite of integrated functionalities, presenting a valuable service model for the TCM sector.
Authors
- Qingyong Yang (ORCID: https://orcid.org/0000-0002-3510-8906)
- Boyi Wang (ORCID: https://orcid.org/0009-0006-5193-1288)
- Huafeng Kong
Institutions
- Beijing Institute of Big Data Research (CN)
- Wuhan Business University (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iciba62489.2024.10869016
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Education
- Wuhan Business University