摘要
为了实现医疗信息化中的疾病与诊疗的智能问答系统,本文提出一种基于人机交互的用户自然语言问题理解方法.该方法在关键词库的基础上,采用正向最大匹配算法对用户咨询进行词法分析.进而对医疗领域的问题进行分类,系统根据问题类别进行数据检索;并利用模板匹配方法,完成答案的提取,以句子作为答案的基本单位.最后,在JSP和Java平台上实现了B/S模式的医疗领域智能问答系统,验证了该方法的有效性.
In order to realize the intelligent question answering system for disease diagnosis and treatment in medical informationization,this article proposed a method for understanding the user＇question described by nature language based on human-computer interaction.On the basis of the Keywords library,the method use the maximum matching algorithm for lexical analysing of the user consulting.And then classify the issues of medical field,the system take the data retrieval according to the categories of issues.The system will also use the method of template matching for extracting the answer,with the sentence as the basic unit of answer.Finally,intelligent question answering system of medical field is realized based on B/S model on the platform of JSP and JAVA,it prove the effectiveness of this method.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第11期95-98,共4页
Microelectronics & Computer
基金
江苏省自然科学基金项目(BK2009699)
关键词
医疗行业
Q&A
智能
实现
medical industry
Q＆A
intelligent
development
