基于Web的中医方证分析平台的设计  

Designing an Analytical Platform for TCM Prescription and Syndrome on Web

作　　者：周卫强[1] 黄惠勇[3] 邓宇[1] 刘勇[2] 易钊旭[1] 雷洋[1] 刘芳[2] 宁泽璞[1] 谭英[1] 张振铭 刘东亮[1] ZHOU Wei-qiang;HUANG Hui-yong;DENG Yu(Provincial Key Laboratory of TCM Diagnostics,Hu'nan University of Chinese Medicine,Changsha 410208,Hu'nan Province,P.R.C.)

机构地区：[1]湖南省中医药研究院文献信息研究所,湖南省长沙市410006 [2]湖南省中医药研究院附属医院,湖南省长沙市410006 [3]湖南中医药大学中医诊断学湖南省重点实验室,湖南省长沙市410208

出　　处：《中国数字医学》2020年第2期98-100,共3页China Digital Medicine

基　　金：湖南省自然科学基金面上项目(编号:2017JJ2171);湖南省中医药科研计划项目(编号:201787);湖南中医药大学中医诊断学国家重点学科开放基金项目(编号:2015ZYZD14);中央引导地方科技发展专项资金项目(编号:2017KT5003)。

摘　　要：目的:为中医学人工智能提供可用数据,并服务于科研和临床医疗之目标。方法:以"病症、证候、处方、疗效的数据分析"为切入点,打造多人在线协同科研、数据共享的网络平台。实现Apriori等数据挖掘算法,获得智能诊断、处方对比、病证分型、病因病机分析等信息。调用D3.js等开源库,在浏览器端生成可交互的动态图表。结果:能帮助用户快捷高效地获取科研数据和分析结果。结论:利用互联网技术,能增强获取数据的能力。Objective:In order to serve the artificial intelligence in traditional Chinese medicine(TCM),and also for scientific research and clinical medical services.Methods:with"Data analysis for Disease and Symptom,Syndrome,Prescription,Efficacy"as the entry point,build website for multiuser online collaborative research,data sharing.Data mining algorithms such as Apriori are implemented to obtain information such as intelligent diagnosis,prescription comparison,syndrome classification,etiology and pathogenesis analysis.Use D3.js and other open source libraries to generate interactive and animated charts on browser.Results:It can help users acquire scientific data and analysis results quickly and efficiently.Conclusion:Using Internet technology can enhance the ability to acquire data.

关 键 词：数据挖掘 中医方证分析平台 中医学人工智能 数据可视化 

分 类 号：R197.32[医药卫生—卫生事业管理] TP391[医药卫生—公共卫生与预防医学]