摘要大数据是这个高科技时代的产物。在此背景下，医院以及医务人员对疾病数据种类进行统计尤为重要，它不仅对疾病进行正确的分类，而且对疾病信息进行准确有效的分析。这不仅增加了人类对疾病分类知识的掌控程度，而且使得医学疾病知识和统计工作得到了很好的互相完善作用。68962

文中详细的阐述了系统的需求分析、数据库设计、系统细节实现和运行结果和统计效益方面的问题。

在系统的开发时，系统运用了SSH三种框架整合技术，采用了B/S(浏览器/服务器)结构[1]，合理而巧妙地运用MySQL作为数据库的虚拟服务器，实现了药品管理及消耗统计模块，病人信息管理模块，疾病图形管理模块，公告添加管理模块等。每个模块都实现了其模块所相对应的功能，达到了每个模块都快捷方便的操作目标。在疾病图形管理模块，实现了一个时间段内，某一疾病发病人数最多进行统计，并且在公告里做出相应的说明。

该论文有图21幅，表6个，参考文献21篇。

毕业论文关键词：Java  大数据  疾病种类  统计系统

Design and Implementation of a Statistical System for Disease Categories Based on Large Data

Abstract

  Big data is the product of this high-tech era. Under this background, hospital and medical personnel for various kinds of disease data statistics is particularly important,It not only carries on the correct classification to the disease, but also carries on the accurate and effective analysis to the disease information. This not only increases the human control of the disease classification knowledge, but also makes the knowledge of medical diseases and statistical work has been very good to improve the role of each other.

  In this paper, the system requirement analysis, database design, system implementation and operation results and statistical benefits of the system are described in detail.

  In the development of the system, the system uses the SSH three framework integration technology, using the B/S (Browser / server) structure, reasonable and clever use MySQL as a database for the virtual server, the realization of drug management and consumption statistics module，the patient information management module, graph management module of disease, the announcement and management module and so on. Make each role to achieve the corresponding function, fully reflects the man-machine interface, simple and convenient operation.In the disease graphics management module, to achieve a time period, the number of a number of diseases of the most statistics, and make the corresponding note in the announcement.

Key Words: Java  Big data  Statistical system  Types of diseases

目  录

摘  要 I

Abstract II

图清单 V

表清单 VI

1 绪论 1

1.1 大数据疾病种类统计研究的目的及意义 1

1.2 国内外研究动态 1

1.3 本文研究内容及主要贡献 2

1.4 本章小结 2

2 系统的分析以及运行环境 3

2.1 可行性分析 3

2.2 需求分析 3

2.3 运行环境 6

2.4 本章小结 6

3 数据库设计 7

3.1 数据模型分析与设计