Multi-center biomedical data co-processing system and method without patient data sharing

A biomedical and data collaboration technology, applied in database management systems, electronic digital data processing, special data processing applications, etc., can solve problems such as external circulation, long waiting time for synchronous update models, user data privacy leakage, etc., to meet security requirements Effects of isolation, improvement of analysis efficiency and data processing capability, and protection of privacy

CN110362586AActive Publication Date: 2019-10-22ZHEJIANG LAB
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-10-22

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Abstract

The invention discloses a multi-center biomedical data co-processing system and method without patient data sharing. The multi-center biomedical data co-processing system comprises a cloud server anda medical center client, wherein the cloud server is used for coordinating various medical center model parameters and asynchronously calculating; the medical center client is used for carrying out local high-performance calculation on data; the cloud server comprises a parameter manager and a task scheduler. A parameter sharing mechanism and an asynchronous communication mechanism are connected and managed through a parameter manager and a task scheduler of a cloud server and are jointly applied to multi-center medical data collaborative computing; security isolation between medical center data and a cloud server can be met, and the privacy of medical center patient data is fully protected; meanwhile, compared with a direct synchronous exchange data calculation result, the calculation waiting time is effectively shortened, and the analysis efficiency and the data processing capacity of multi-center cooperative processing are greatly improved.
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Description

technical field

[0001] The invention belongs to the field of data collaborative processing, and in particular relates to a multi-center biomedical data collaborative processing system and method without patient data sharing. Background technique

[0002] The development of big data technology and the analysis and research of big data play a supporting role in all aspects of social development and progress. With the development of modern digital technology, the informatization of hospital diagnosis and treatment process and the implementation of electronic medical records, massive data will be generated in the medical process. The biomedical data generated globally every year reaches exabyte level, but the data of each medical center is independent of each other, and the patient population has great heterogeneity. Therefore, the Department of Biomedical Research encourages the collaborative processing of medical big data with overall relevance.

[0003] In the existing multi...

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] The invention provides a multi-center biomedical data collaborative processing system without patient data sharing, such as figure 1 As shown, the system includes a cloud server for coordinating the model parameters and asynchronous calculation of each medical center and a medical center client for performing local high-performance computing on the data.

[0033] Both the medical center client and the cloud server have their own network interface layer. The network interface layer is developed based on the Flask lightweight web application framework under the python language, including but not limited to the use of web application frameworks such as Spring Boot, to achieve medical data collaboration Handles communication of requests and model parameters.

[0034] The medical center client has two roles of initiator and partici...