Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research

Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research

This research announces that the fresh federated learning structure is designed to enhance the privacy-preserving analysis of electronic health records (EHRs), and multiple institutions in this framework permit secure collaboration among institutions, allowing them to train machine-learning replicas...

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Bibliographic Details
Main Authors: Karthik Meduri, Geeta Sandeep Nadella, Akhila Reddy Yadulla, Vinay Kumar Kasula, Mohan Harish Maturi, Steven Brown, Snehal Satish, Hari Gonaygunta
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-11-01
Series:Journal of Economy and Technology
Subjects:
Federated Learning
Privacy-preserving
Electronic Health Records (EHR)
Decision-Tree-Classifiers
Support-Vectors-Classifiers
Random-Forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2949948824000544
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http://www.sciencedirect.com/science/article/pii/S2949948824000544

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