基于python+Django知识图谱的医疗问答系统设计与实现

摘 要

从信息技术的发展至今，各色各样的技术能够满足各类人群的需求，能够让各种业务行业的痛点变成能够可以解决的方法，随着我们经济的不断提高，越来越多的人都该关注健康，那么健康饮食、健康医疗是我们生活中所追求的一个场景。信息通信技术的发展和互联网技术的加持造就了我们今天这快速方便的互通时代，从最早的飞信通过再到QQ交流，慢慢发展成为现在的微信语音，每一个软件每一种技术改变了我们原先应有的生活方式。不仅仅只是发生在通信方面，生活中的方方面面都在发生着种种不一样的变化。有了AR我们可以不再受地域和空间的限制，推出AR实景，就连“汽车之家”这些类的APP上也都可以进行AR实景看车了，真可谓是改变生活的一大乐趣。由此可见，信息化软件的力量足可以撼动整个社会乃至整个人类生活的情况。这次我们的设计所做的应用也是根据现实生活当中的需求来进行针对性的功能解决的，所有的业务也好，功能啥的都是根据实际的需求设计而来。各种各样应运而生的信息化软件都是为了解决生活当中的问题的，我们也不例外，就是为了能够解决这样或者那样的问题才进行的设计。健康对于我们生活来说太重要了，我们必须把健康放到第一位，那么我们应该时时关注我们的健康。那么如何能够实时关注的健康呢？就是通过知识图谱的医疗问答，可以有效地进行问答的健康知识调理。本文就是采用Python的技术基于知识图谱的医疗问答系统来进行对个人的医疗问答和问答进行管理，能够对健康有计划性的整理，当然，数据库方面为了方便安全，还是采用的MYSQL数据库。
关键字：健康 MYSQL python技术 信息分析

Python medical question answering system based on Knowledge graph
Abstract
From the development of information technology to now, all kinds of technology can meet the needs of all kinds of people, can make a variety of business industry pain points can be solved, with the continuous improvement of our economy, more and more people should pay attention to health, so healthy diet, health care is a scene in our life to pursue. The development of information and communication technology and the support of Internet technology have created today’s rapid and convenient intercommunication era. From the earliest Fexin to QQ communication, it has gradually developed into the present wechat voice. Every software and every technology has changed our original way of life. Not only in communication, but also in all aspects of life. With AR, we can no longer be limited by the region and space, the launch of AR real scene, even “car home” these kinds of APP can also be AR real scene to see the car, it is really a great fun to change life. It can be seen that the power of information software can shake the whole society and even the whole human life. This time, the application of our design is also based on the needs of real life to carry out targeted functional solutions, all the business is good, what function is designed according to the actual needs. All kinds of information software comes into being in order to solve the problems in life, we are no exception, is to be able to solve this or that problem before the design. Health is so important for our life, we must put health in the first place, then we should always pay attention to our health. So how can we pay attention to health in real time? It is through the medical question and answer of the knowledge graph, can effectively conduct the health knowledge conditioning of question and answer. This paper uses Python technology based on the knowledge graph medical question and answer system to manage personal medical question and answer, to be able to organize health in a planned way, of course, the database for convenience and security, or the use of MYSQL database.

Key words: MYSQL python language information analysis of the epidemic

目 录
Abstract 1
目 录 2
1 绪 论 3
1.1 研究背景及意义 3
1.2 选题研究的内容以及主要目标 3
1.2.1选题研究目标 3
1.2.2选题主要研究思路和方法 1
1.2.3选题主要解决的问题 1
1.2.4系统的设计思想 2
2 使用技术说明 2
2.1 B/S访问结构 2
2.2 PyCharm工具简介 3
2.3 MySQL数据库 3
2.4 Django框架简介 3
4 系统需求分析及可行性分析 4
4.1 系统功能需求分析 4
4.2 可行性分析 1
4.2.1　经济可行性 1
4.2.2 技术可行性 1
4.2.3 操作可行性 1
4.2.4 法律可行性 1
4.3 性能需求分析 2
4.4 运行需求分析 2
5 数据库设计 1
5.1 E-R图 1
5.2 系统流程设计 1
5.3 数据库设计 1
6 系统功能实现 1
6.1 系统实现 1
6.1.1 管理员登录 1
6.1.2 后台首页 1
6.1.3 医疗问答页面 1
6.1.4 问答管理 1
6.1.5 修改密码 2
6.1.6 个人信息 2
致　　谢 2
参考文献 3