| 引用本文: |
韦昌法,罗丽琴,晏峻峰.中医数字辨证配套医案智能采集与分析系统构建研究[J].湖南中医药大学学报,2020,40(1):70-74[点击复制] |
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| 中医数字辨证配套医案智能采集与分析系统构建研究 |
| 韦昌法,罗丽琴,晏峻峰 |
| (湖南中医药大学信息科学与工程学院, 湖南 长沙 410208;湖南大学信息科学与工程学院, 湖南 长沙 410082) |
| 摘要: |
| 中医数字辨证是中医智能辅助诊断的核心，辨证模型的质量直接影响辨证的准确度和效率。为了建立中医数字辨证模型并验证其准确度，需要准备大量的配套医案。根据中医数字辨证模型对医案的需求，设计了中医数字辨证配套医案智能采集与分析系统，利用人工智能技术和Python编程技术实现了医案采集、医案展示、医案检索、数据统计分析及可视化等功能，有助于快速采集并筛选出符合条件的中医医案，提高中医数字辨证模型的创建效率和质量。 |
| 关键词: 中医数字辨证 人工智能 医案采集 医案分析 |
| DOI：10.3969/j.issn.1674-070X.2020.01.016 |
| 投稿时间：2019-09-06 |
| 基金项目:教育部科技发展中心"天诚汇智"科研创新基金课题（2018A03011）；湖南省教育厅资助科研项目（18A219）；湖南中医药大学中医学一流学科开放基金资助项目（2018ZYX65）；湖南中医药大学信息科学与工程学院电子科学与技术学科开放基金项目（2018-1）。 |
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| Research on Construction of Intelligent Acquisition and Analysis System of Supporting Medical Cases for Traditional Chinese Medicine Digital Syndrome Differentiation |
| WEI Changfa,LUO Liqin,YAN Junfeng |
| (School of Informatics, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China) |
| Abstract: |
| The digital syndrome differentiation of TCM is the core of intelligent assistant diagnosis of TCM. The quality of syndrome differentiation model directly affects the accuracy and efficiency of syndrome differentiation. In order to establish the digital syndrome differentiation model of TCM and verify its accuracy, a large number of supporting medical cases need to be prepared. According to the requirement of TCM digital syndrome differentiation model for medical cases, an intelligent acquisition and analysis system of supporting medical cases for TCM digital syndrome differentiation was designed. Using artificial intelligence technology and Python programming technology, the functions of medical cases collection, medical cases display, medical cases retrieval, data statistical analysis and visualization were realized, which are helpful to quickly collect and screen qualified TCM medical cases, and to improve the efficiency and quality of the establishment of TCM digital syndrome differentiation model. |
| Key words: traditional Chinese medicine digital syndrome differentiation artificial intelligence medical cases acquisition medical cases analysis |
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