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A multi-center biomedical data collaborative 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 the problems of external circulation, long waiting time for synchronous update models, leakage of user data privacy, etc., to meet security requirements. The effect of isolation, improving analytical efficiency and data processing power, and protecting privacy

Active Publication Date: 2021-08-03
ZHEJIANG LAB
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Problems solved by technology

[0006] The purpose of the present invention is to propose a new multi-center medical data collaborative processing system and method without patient data sharing in order to solve the problems of user data privacy leakage and synchronous update model waiting time in the existing multi-center medical data collaboration process. Facing the actual application scenario, the present invention uses a distributed collaborative processing method to solve the problem of medical big data analysis on the premise of fully avoiding the risk of external circulation and leakage of all patient data, and completes the collaborative optimization and optimization of the model through the method of asynchronous sharing of the model. Improvement of computing efficiency

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  • A multi-center biomedical data collaborative processing system and method without patient data sharing
  • A multi-center biomedical data collaborative processing system and method without patient data sharing
  • A multi-center biomedical data collaborative processing system and method without patient data sharing

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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...

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Abstract

The invention discloses a multi-center biomedical data collaborative processing system and method without patient data sharing. The system includes a cloud server for coordinating model parameters and asynchronous calculations of each medical center and a local high-performance computing system for data. Medical center client; wherein the cloud server includes a parameter manager and a task scheduler; in the present invention, the parameter sharing mechanism and asynchronous communication mechanism are connected and managed through the parameter manager and task scheduler of the cloud server, and are jointly applied to multi-center medical data collaborative computing ;It can meet the security isolation of medical center data and cloud server, and fully protect the privacy of medical center patient data; at the same time, compared with direct synchronous exchange of data calculation results, it can effectively reduce calculation waiting time, and greatly improve the analysis efficiency and data processing of multi-center collaborative processing ability.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/23G06F16/25G06F16/27G06F9/48
CPCG06F16/23G06F16/252G06F16/27G06F9/4843
Inventor 李劲松朱琰田雨王昱冯毓琅
Owner ZHEJIANG LAB
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