EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients

arXiv:2404.13318v1 Announce Type: new
Abstract: In this study, we provide solutions to two practical yet overlooked scenarios in federated learning for electronic health records (EHRs): firstly, we introduce EHRFL, a framework that facilitates federated learning across healthcare institutions with distinct medical coding systems and database schemas using text-based linearization of EHRs. Secondly, we focus on a scenario where a single healthcare institution initiates federated learning to build a model tailored for itself, in which the number of clients must be …

abstract arxiv coding cs.lg database electronic electronic health records federated learning framework health healthcare medical medical coding practical precision records solutions study systems type