Spatial And Temporal Characteristics Analysis Of Disease Regions Based On Big Data

The study of the spatial and temporal characteristics of 120 pre-hospital emergency events provides a scientific basis for the emergency center to optimize the allocation of medical resources and has important practical significance for improving the decision-making ability of the emergency center.The information in the data of 120pre-hospital emergency events is increasingly complex,so it is difficult to analyze the spatial and temporal distribution pattern hidden behind 120 pre-hospital emergency events using the traditional spatial data mining method.This paper mainly improves the data mining method and designs an appropriate spatiotemporal clustering method.The main research contents are as follows:In summary and thinking space and time,on the basis of data mining research,in view of the existing clustering method when dealing with large data,low efficiency of ubiquitous computing,cluster effect is poor and can’t get any shape problem such as the clustering results,based on 120 pre-hospital emergency event data in time and space exploratory analysis,based on the data driven,business oriented,this paper combines the density clustering,the idea of hierarchical clustering and space-time cube,designed for space-time data mining clustering method of space and time.According to the density,the algorithm is partitioned initially,which improves the efficiency of the algorithm.By setting the noise threshold to process the noise,the sensitivity of the algorithm to noise is reduced,and the clustering results are not limited to a particular shape.In this paper,the method of design was applied to 120 pre-hospital emergency event data of space and time in data mining,the clustering results visualization analysis and comparison,found that this method is an effective combination of density clustering,the idea of hierarchical clustering and space-time cube,in the case of processing large data,compared with traditional clustering algorithms,clustering efficiency and quality has obvious enhancement,realized 120 pre-hospital emergency event data clustering,high efficiency and high quality shows that the new algorithm in pre-hospital emergency handling120 events of this kind of spatiotemporal data processing has a certain advantage.