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Research On Key Technologies Of Health Cloud Service Platfonn Based On Digital Integrated Diagnostic

Posted on:2017-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:R Y MeiFull Text:PDF
GTID:2348330491464498Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
The rapid development of information technology is the basis of promoting the process of medical informationization. With the gradual application of internet of things, cloud computing and internet technology in the health service industry, a variety of products with health management service platform have come out. This study presents the research of the key technologies of health cloud service platform which based on digital integrated diagnosis. Then designs and develops the modules of the health cloud service platform. The main research contents are as follows.Firstly, analyze the software requirements of health cloud service platform and elaborate from the business requirements, user requirements, functional requirements and non-functional requirements. Put forward the basic architecture of health cloud service platform, and study the module setting and logical structure of each layer from three aspects of support layer, application layer and interaction layer.Then introduce the main functions and technical features of digital integrated diagnosis device, and analyze the application model in the community medical service of the device. Meanwhile study the key technologies of building the health cloud service platform which include the operation mechanism and core components of cloud computing, the basic architecture and data standards of health records, the general process and main methods of data mining, and the software design of information system.Besides, apply the key technologies and the back-end & front-end method of to design the platform. Use Hadoop open-source framework to realize the cloud computing environment. Design MySQL and HBase databases according to the idea of distributed storage. Carry out the information mining on medical data by means of the analysis tool Weka. Integrate the chart plugin FineReport into the platform to realize data visualization. And choose B/S mode to design the health cloud service platform under the MVC framework.Lastly, configure the development environment and deployment environment of the platform. Release the project files into the lightweight application server Tomcat, run the management system on web browser IE, and carry out the test and verification of each module according to the function test method in software testing.
Keywords/Search Tags:integrated diagnosis, cloud computing, distributed storage, visualization, management system
PDF Full Text Request
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