基于Hadoop的医疗大数据分析系统的研究与设计

摘要

For solving the problem of lack of large medical data computing ability in some hospitals presently, a medical mega data analysis system based on Hadoop is designed. The system can provide two functions of auxiliary diagnosis and medical data statistics, combing with the technology of multi-node distributed computing. So, the preliminary diagnosis results can be concluded immediately according to patient's medical data. And at the same time, the proposed system also has more efficient analysis capability than the traditional hospital information system.%针对目前部分医院对于庞大医疗数据处理能力匮乏问题,设计了一个基于Hadoop的医疗大数据分析系统.该系统可提供辅助诊断和医疗数据统计两大功能,同时融合了多节点分布式计算技术,可以根据患者的医检数据快速生成初诊结果,并能够有效地改善传统医疗数据信息系统分析效率较低的现状.