Federated learning of predictive models from federated Electronic Health Records.

Background: In an era of "big data," computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations and owned by different entities. Past research has b...

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Bibliographic Details
Published in:International Journal of Medical Informatics Vol. 112; pp. 59 - 68
Main Authors: Brisimi, Theodora S., Chen, Ruidi, Mela, Theofanie, Olshevsky, Alex, Paschalidis, Ioannis Ch., Shi, Wei
Format: research Journal Article
Published: Elsevier B.V. Apr2018
Online Access:View this record in EBSCOhost