中成药多背景数据协作共享与可视化系统的设计与实现

Design and implementation of multi-background data sharing and visualization system for Chinese patent medicine

近年来,中成药的使用频率和认可度逐步提升,相关信息平台、医疗终端,以及互联网持续产生海量多背景中成药数据。这些数据来源众多、演化较快、不易跟踪利用,难以有效支撑中成药相关领域的管理、决策与服务。基于此,利用Python爬虫技术,采集中成药大数据,尝试整合多种中成药信息资源,利用PostgreSQL数据存储技术,构建包括中成药政策、技术与流通等多背景的数据库;其次使用Flask框架设计实现系统相关的功能与界面,为不同权限的用户提供不同程度的数据管理服务;最后借助ECharts技术对用户关心的一系列药品指标数据进行可视化展示。系统力图改善中成药多背景数据孤立现象,更好地为领域专家或普通用户提供中成药多背景数据的协作共享与可视化服务。

In recent years,the use frequency and recognition of proprietary Chinese medicines have gradually increased.Rel-evant information platforms,medical terminals and the Internet continue to generate massive multi-background data of proprietary Chinese medicines.These data come from a large number of sources,evolve rapidly,and are not easy to track and utilize,which is difficult to support the management effectively,decision-making and services in the fields related to Chinese patent medicine.Based on this,Python crawler technology was used to collect big data of Chinese patent medicine,try to integrate a variety of Chi-nese patent medicine information resources,and use PostgreSQL data storage technology to build a multi-background database in-cluding Chinese patent medicine policy,technology and circulation.Secondly,the Flask framework is used to design and imple-ment system-related functions and interfaces to provide different degrees of data management services for users with different per-missions.Finally,a series of drug index data concerned by users were visualized by ECharts technology.The system tries to im-prove the isolation of Chinese patent medicine multi-background data and provide better collaborative sharing and visualization ser-vices for domain experts or ordinary users.