Open AccessThe Model Design of Medical Data Life Cycle Based on Big Data Platform
Author(s) -
Ziqing Li,
Shenglei Pei,
Guiliang Feng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042088
Subject(s) - big data , the internet , field (mathematics) , computer science , data management , medical information , internet of things , data science , database , embedded system , world wide web , knowledge management , data mining , mathematics , pure mathematics
With the gradual popularization of the mobile Internet and the Internet of Things, people’s lifestyles have undergone profound changes. In the medical field, the demand for smart medical remote care is gradually increasing. The continuous upgrading and updating of medical equipment and the precision operation of inspection equipment have made medical information systems contain more and more types of data. Based on data lifecycle management theory and big data processing technology such as Hadoop, this paper designs a corresponding data lifecycle management model for children’s chronic kidney disease remote rehabilitation system. Its role is to manage the data reasonably, thereby increasing the availability of information systems and improving the efficiency of system storage devices.