Comparative Study on Healthy Big Data Analysis Methods

Abstract

Purpose: to provide corresponding analysis methods for different health data sources, which can accurately and rapidly analyze the data. Significance: improve the efficiency and accuracy of data mining, as well as the utilization rate of data resources. Process: this paper starts from the basic concept of health big data, gives 6 kinds of analysis methods according to different sources of health big data, and compares them from the aspects of main functions, applicable data types, advantages and disadvantages. Conclusion: data from different sources need to be analyzed in different ways, so as to achieve targeted data analysis.