Research On Medical Health Data Analysis And Application Model Based On Big Data Platform

[Objective] Establishing a scientific and perfect application model of medical health data analysis is of great significance for promoting the application of medical health data.After being familiar with the technology of big data platform and comparing the data analysis methods of traditional data warehouse,this paper designs the application mode of medical health data analysis based on big data platform according to the characteristics and application requirements of medical health big data.The main research objectives of this paper are: to describe in detail the theme of large data application in the field of medical health,to analyze the data analysis mode of traditional data warehouse,to put forward the application mode of medical health data analysis based on large data platform,and finally to practice the application mode of data analysis in the case of diabetes mellitus.[Methods] This paper adopts the methods of literature research,field investigation,data science and expert consultation.Using literature research method to understand the big data platform and its technology,and to analyze the limitations of traditional data warehouse data analysis methods.Field survey was used to understand the current situation and application requirements of medical health big data,to define the application subject and scenario,and to describe the application theme of medical health big data.The application process of data analysis based on large data platform is studied by using data science method.The expert consultation method is used to consult the application process of medical health data analysis based on the big data platform and the theme of medical health big data application described,and to modify and improve them according to the experts’ opinions.[Results](1)The application subjects of the big data of medical and health are divided into six categories: residents,hospitals,primary medical institutions,public health institutions,health and family planning departments and relevant medical and health departments;the application scenarios are divided into eight categories: public health,medical services,medical security,drug management,family planning,comprehensive management,industrial development and Internet+8.(2)Detailed description of the application theme of medical and health data.(3)Introduce the framework of data analysis in traditional data warehouse,and summarize its limitations in large data environment.(4)The application model of medical health data analysis based on big data platform is designed,which is divided into four parts: data acquisition,data integration,data analysis and data application display.In the application of treatment options for diabetic patients,patients are divided into five categories,and the frequent itemsets with the highest support among the categories are calculated.[Conclusions](1)The analysis and application mode of medical health data based on big data platform is divided into two parts: the first part is the application theme of medical health big data;the second part is the analysis and processing of medical health data based on big data platform.Firstly,the sources of big data of medical health are defined,and then the application theme of big data of medical health is defined.Finally,the big data of medical health is analyzed and processed based on big data platform to realize the application.(2)Traditional data warehouse data analysis applications have limitations on data mobility costs,data variability and hardware costs.Compared with the traditional data warehouse analysis and application mode,the application mode of medical health data analysis based on large data platform combined with the storage,processing and analysis technology of large data is more suitable for the characteristics and application requirements of large medical health data.(3)The data integration of large medical data is complex.It is necessary to deal with multi-source heterogeneous system data and pay attention to the privacy protection of medical data.(4)The design of the application mode of medical health data analysis can effectively help the analysis and application of large medical health data,among which the design of analysis method and data processing are the most critical.