Research Article
Design of Healthcare Data Analysis System Based on Operational Research and Differential Evolution Algorithm
@INPROCEEDINGS{10.1007/978-3-030-94185-7_9, author={Xue Jin and Bin-bin Liu}, title={Design of Healthcare Data Analysis System Based on Operational Research and Differential Evolution Algorithm}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Operational research Differential evolution algorithm Health care data Hadoop system Data analysis system}, doi={10.1007/978-3-030-94185-7_9} }- Xue Jin
Bin-bin Liu
Year: 2022
Design of Healthcare Data Analysis System Based on Operational Research and Differential Evolution Algorithm
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_9
Abstract
Considering the existing medical data has many characteristics, such as many and complex classification, based on operational research and differential evolution algorithm, a medical data analysis system is designed, which consists of distributed storage module, medical intelligent assistant decision module, data cache module, data analysis module, authority verification module, overall decision module and processor module. Among them, data analysis module and overall decision module are the core of the whole system. In the data analysis module, the data output from the data cache module is split and processed by differential evolution algorithm and clustering mining algorithm, and transmitted to the overall decision module. The decision theory in operational research is used to describe and analyze the data analysis process of decision makers, According to the analysis results, the system makes overall decision, and then realizes the design of the medical and health data analysis system. The experimental results show that the system has a high proportion of practical rules extraction, and the time consumption is shorter, which can further improve the level of medical and health data analysis.
