您的位置:首页  > 论文页面

基于Django的Web辅助诊断系统设计

发表时间:2018-06-15  浏览量:916  下载量:139
全部作者: 韩培佩,万遂人
作者单位: 东南大学生物科学与医学工程学院
摘 要: 为帮助医生和科研人员提高工作效率,设计了一个基于磁共振技术的Web辅助诊断系统。首先对该数据库系统进行需求分析,接着介绍该系统的结构设计及实现方案,并研究利用MVC(model-view-controller)设计模式和Django框架的分布式数据库的设计。随后画出数据库实体-联系(entity-relationship,E-R)关系图,并建立相应数据库表结构。最后实现数据库的功能,并供给前台页面展示数据。
关 键 词: 生物医学工程学;Django;实体-联系(E-R)关系图;页面展示
Title: Web auxiliary diagnosis system design using Django
Author: HAN Peipei, WAN Suiren
Organization: School of Biological Sciences & Medical Engineering, Southeast University
Abstract: To improve the work efficiency of doctors and researchers, a Web auxiliary diagnosis system based on magnetic resonance technology is designed in this paper. Firstly, the function requirements of this database system are analyzed. Secondly, the frame structure design and implementation scheme of the system are introduced. According to the distributed database design, the model-view-controller (MVC) design pattern and Django framework are studied. The database entity-relationship (E-R) diagram is drawn and the corresponding database table structure is established. Finally, the function of database is achieved and the front page to display the data is given.
Key words: biomedical engineering; Django; E-R diagram; page display
发表期数: 2018年6月第11期
引用格式: 韩培佩,万遂人. 基于Django的Web辅助诊断系统设计[J]. 中国科技论文在线精品论文,2018,11(11):1149-1157.
 
0 评论数 0
暂无评论
友情链接