Research on Medical Big Data Application Model Based on Data Separation

Hai-feng LI, Hong-rui SUN

Abstract


Data attributed data, privacy attributed privacy. At present, big data development now going all walks of life, in order to better carry out medical research and so on, the medical industry select development of healthcare big data, but the data are still some big problems in terms of security: user privacy information disclosure and other. This paper proposes a new way of thinking: data separation storage method, by the user's information data into information data block medical data and personal information data blocks, try a way to solve the existing problem of private data leakage, and study the practical application ability of medical big data based on this data separation storage method.

Keywords


Medical big data, Big data security, Data separation


DOI
10.12783/dtetr/acaai2020/34209

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