基于人工智能的中药处方分析小程序设计

Tingting Huang, Xue-Fei Wang, Chen Yuan, Fei Wang, Xinyue Wang, Zhen-Liang Huang, Jian-Hua Li, Zezhi Shao
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引用次数: 0

摘要

利用微信开发工具、MYSQL数据库、Spring Boot等技术开发“中药方剂数据采集”微程序,实现对患者生命体征信息、临床检查、中药方剂数据的采集、处理和分析。采用自然语言处理技术实现了用户界面文本数据的智能信息标注、提取和结构化数据存储。主要实现心脑血管疾病经典方剂的相似度分析和可视化。通过词频的计算,探索各关键词之间的关系,深入挖掘源数据与疾病之间的关系,为中医方剂用药规律的研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of AI-Based TCM Prescription Analysis Applet
The micro program “TCM prescription data collection” was developed by using Wechat developer tools, MYSQL database, Spring Boot and other technologies to realize the collection, processing and analysis of patients' vital signs information, clinical examination and TCM prescription data. The intelligent information annotation, extraction and structured data storage of user interface text data are realized by NLP technology. The similarity analysis and visualization of classical prescriptions for cardiovascular and cerebrovascular diseases were mainly realized. Through the calculation of word frequency, it explores the relationship between each keyword, and deeply excavates the relationship between source data and diseases, which lays a foundation for the research on the law of prescription and medication of traditional Chinese medicine.
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