Children Cough as Chief Complaint Date Sharing Model Based on Multi-center Horizontal Federated Learning

Corresponding author: YU GANG, yugbme@zju.edu.cn

DOI: 10.12201/bmr.202207.00004

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  Abstract: The paper analyzes the background of children diseases with cough as chief complaint, the applications of its medical data and the dilemma of development. Combined with federated learning technology, it points out a multi-center horizontal federated learning framework for childhood diseases with cough as chief complaint, and introduces three basic concepts of federal learning. The model framework is illustrated from the purpose, the system architecture, the application flow and system advantages, etc., so as to provide an effective solution for protecting childrens cough data, breaking down the data silos between medical institutions, and realizing secure sharing of medical data.

  Key words: children cough; multi-center; horizontal federated learning; data island; date sharing; data security

  Submit time: 4 July 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2022-04-07	bmr.202207.00004V1	Download

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