医疗大数据平台设计与实现

Design and Implementation of Medical Big Data Platform

为解决医疗数据的高效存储与处理分析等问题,设计并开发了医疗大数据平台。首先,搭建并部署了Hadoop分布式文件系统,设计基于Tomcat服务器搭建的网站平台。然后,通过编写Hadoop WEB API将WEB服务器与分布式文件系统相结合,设计数据处理效率高的Python脚本程序读取并统计分析医疗数据。平台运行测试结果表明,该医疗大数据平台实现了数据存储、共享、可视化展示等预期功能。

In order to solve the problems of efficient storage, processing and analysis of medical data, a medical big data platform is designed and developed. HDFS(Hadoop distributed file system) is built and deployed, and a website platform based on Tomcat server is designed. The web server is combined with distributed file system by writing Hadoop web API, and a Python script program with high data processing efficiency is designed to read and analyze medical data. The test results show that medical big data platform achieves the expected functions of data storage, sharing and visualization.