[1]刘健,蒋卫民,沈宫建.面向大数据的高血压中医专家诊疗系统构建及应用[J].中国中医药图书情报杂志,2019,43(5):5-9.[doi:10.3969/j.issn.2095-5707.2019.05.002]
　LIU Jian,JIANG Wei-min,SHEN Gong-jian.Construction and Application of TCM Expert Diagnosis and Treatment System for Hypertension Oriented to Big Data[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2019,43(5):5-9.[doi:10.3969/j.issn.2095-5707.2019.05.002]
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面向大数据的高血压中医专家诊疗系统构建及应用

《中国中医药图书情报杂志》[ISSN:2095-5707/CN:10-1113/R] 卷: 43卷 期数: 2019年5期 页码: 5-9 栏目: 专题论坛 出版日期: 2019-09-29
Title:
Construction and Application of TCM Expert Diagnosis and Treatment System for Hypertension Oriented to Big Data
文章编号:
2095-5707(2019)05-0005-05
作者:
刘健; 蒋卫民; 沈宫建
南京中医药大学附属医院，江苏 南京 210029
Author(s):
LIU Jian;  JIANG Wei-min;  SHEN Gong-jian
Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
关键词:
大数据; 高血压; 中医专家诊疗系统; 反向传播神经网络; 诊疗
Keywords:
big data;  hypertension;  TCM expert diagnosis and treatment system;  back-propagation neural network (BP）;  diagnosis and treatment
分类号:
R2-03；R241
DOI:
10.3969/j.issn.2095-5707.2019.05.002
文献标志码:
A
摘要:
目的 为增强人们对高血压病的认识、提高医务人员的诊断水平，构建面向大数据的高血压中医专家诊疗系统。方法 以人机接口、数据库、知识库、推理机、解释机构和知识获取模块为主体，构建专家诊疗系统框架，使该系统具有症状检索、病情检索、西药药品检索、中医诊疗和系统管理等主要功能。结果 针对中医理论表述的不确定性，建立基于反向传播神经网络（BP网）的高血压病诊断网络结构，模拟南京中医药大学附属医院暨江苏省中医院心内科名中医的辨证论治方式，应用Visual Studio软件（2013）和SQL Server数据库软件（2012），开发了高血压中医专家诊疗系统，通过症状特征推理证候分型，并开出处方。通过对近5年本院93 626例高血压患者进行检测和应用对比，使用高血压中医专家诊疗系统辨证治疗的准确率达到95%以上。结论 将大数据、人工智能与中医诊疗相结合，研究高血压专家诊疗系统，为实现智慧中医诊疗、提升临床服务能力提供有力支撑。
Abstract:
Objective To construct TCM expert diagnosis and treatment system for hypertension oriented to big data; To enhance people’s understanding of hypertension; To improve the diagnostic level of medical staff. Methods Based on man-machine interface, database, knowledge base, inference machine, interpretation mechanism and knowledge acquisition modules, an expert diagnosis system framework was constructed, which equipped the system with the main functions of symptom retrieval, condition retrieval, Western medicine retrieval, TCM diagnosis and treatment, system management, etc. Results Aiming at the uncertainty of TCM theory, the network structure of hypertension diagnosis based on back-propagation neural network (BP network) was established. Simulated by the syndrome differentiation and treatment of TCM experts in Department of Cardiology of Affiliated Hospital of Nanjing University of Chinese Medicine and Jiangsu Provincial Hospital of TCM, and using Visual Studio software (2013) and SQL Server database software (2012), a TCM expert diagnosis and treatment system for hypertension was developed. Syndrome types were inferred by symptomatic characteristics and medicine was prescribed. Through the detection and application comparison of 93 626 patients with hypertension in recent 5 years, the accuracy of syndrome differentiation and treatment of TCM expert diagnosis and treatment system for hypertension was more than 95%. Conclusion Combined with big data, artificial intelligence and TCM diagnosis and treatment, TCM expert diagnosis and treatment system is studied, which can provide strong support for realizing TCM intelligent diagnosis and treatment and promoting clinical service ability.

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备注/Memo

收稿日期：2019-08-22

基金项目：国家中医药管理局国家中医临床研究基地业务建设科研专项课题（JDZX2015143）；江苏省六大人才高峰项目D类（2015-WSN-048）
第一作者：刘健，E-mail: 987636009@qq.com

更新日期/Last Update:

2019-09-22