基于TextRank的医院信息智能处理方法研究

Research on hospital information intelligent processing method based on TextRank

针对海量相关信息检索准确性和可靠性难以保障的问题,结合信息化建设背景,提出一种基于文本挖掘的智能信息检索处理方法。搭建医疗信息检索的整体框架,包括物理框架、网络框架、功能模块;其次对问答系统模块、信息检索模块、数据处理模块进行详细设计,并提出基于TextRank的摘要检索算法,以提高文本检索性能;最后,搭建系统测试环境,对系统的功能性和非功能性进行测试并展现该系统的运行效果。结果表明,该信息检索系统可为用户获取大量化学数据,以及大量的相关及化学科普信息,说明该信息检索系统设计方案可行。

Aiming at the problem that the accuracy and reliability of medical information retrieval are difficult to be guaranteed in the process of current medical information retrieval,this paper proposes an intelligent information retrieval processing method based on text mining in combination with the background of current informatization construction of major hospitals.Firstly,the overall framework of medical information retrieval is built,including physical framework,network framework and functional modules.Secondly,the Q&A system module,information retrieval module and data processing module are designed in detail,and the abstract retrieval algorithm based on TextRank is proposed to improve the performance of the system for text retrieval.Finally,the system test environment is set up to test the functionality and non-functionality of the system and show the operation effect of the system.The results show that the medical information retrieval system provides great convenience for users to obtain medical information and popular science knowledge,which indicates that the design scheme of the medical information retrieval system is feasible.