Research And Implementation Of Medical Data Life Cycle For Big Data

With the rapid development of the Internet and Internet of Things technologies,and the gradual popularization of the mobile Internet,people’s lifestyles have undergone earth-shaking changes.In the medical field,the demand for smart medical remote care is gradually increasing.At present,the informatization construction of the medical industry is gradually improved,and the patient’s medical consultation information,payment information,and diagnostic information are gradually developing toward comprehensive electronic informationization.In addition,the precision of equipment in the medical industry is gradually increasing,and the storage space for data such as picture image information collected is gradually increasing,and the demand for data analysis and disease diagnosis is also increasing.However,rapid information construction has brought many problems in data management.Due to China’s large population and lack of medical resources per capita,sophisticated medical equipment and a large collection of patient information have brought about a large variety and a large number.The data.How to organize and manage this data and make rational use of these data poses new challenges to the management and data storage of medical inf-ormation systems.Without the support of good data management methods and technologies,users’ access efficiency will be reduced,and the maintenance cost of their own systems will also increase.For an information system,if the data can be managed according to the life cycle of the data,the use efficiency of the system’s storage resources can be improved.In addition,with the advent of the era of big data,the amount of data in information systems has also exploded,and research on how to use storage resources more effectively has become more meaningful.The paper first introduces the core concepts of data life cycle theory and data value evaluation and the research status at home and abroad,and summarizes the characteristics of each algoritlun.Then a new data value evaluation algorithm(MDV(Multi-factor Data Valuation))was proposed.This algorithm comprehensively considers the validity and effectiveness of the value evaluation of data,and uses the attributes of the data to evaluate the value.At the same time,combined with the characteristics of big data distributed computing,the related implementation is implemented using Java language,Shell language and Hadoop framework..Based on the independent design and development of children’s chronic kidney disease remote rehabilitation system,this paper further analyzes the data storage and management process within the system,and develops a reasonable and complete data lifecycle management solution,and realizes it by Java language and Hadoop technology.In the fourth chapter,the MDV algorithm and the medical data lif-e cycle model under big data are simulated and verified,and the effectiveness of MDV and the life cycle model are verified.