Abstract：Objective The purposes of this article are to explore the application data processing method and technology in the field
of medical services big data, and to improve the efficiency of interactive statistical computing, so as to provide first-hand practical
information for the further excavation and utilization of medical service big data. Methods This paper analyzed the medical big
data sources, characteristics and the development of processing technology, and put forward a set of parallel computing solutions
based on the Spark according to the functional and performance requirements of data statistics, analysis and usage. Results This
paper completed the system architecture design of the big data interactive analysis platform of medical service, and carried out the
realization, comparison and verification of the prototype of the statistical system based on the Spark computing platform. Conclusion
Spark can satisfy the processing requirements of medical service big data, and also can meet the processing requirements of data
mining which is represented by iterative calculation, graphical analysis data processing. It will have more extensive and in-depth
applications in medical service big data processing.
范炜玮，王虹，吴飞. 基于Spark的医疗服务大数据统计平台的应用[J]. 中国医疗设备, 2017, 32(11): 136-139.
FAN Weiwei, WANG Hong, WU Fei. Application of the Big Data Statistics Platform for Medical Services Based on Spark. China Medical Devices, 2017, 32(11): 136-139.
