A Federated Benchmark for Clinical Natural Language Processing (FedDRAGON).

Journal: Studies in health technology and informatics
Published Date:

Abstract

We introduce the FedDRAGON challenge, a federated learning benchmark for clinical natural language processing. The challenge includes 12 information extraction tasks where data is extracted from clinical reports from 4 Dutch care centers. Baseline results show that the performance of the federated models surpass single-center performance and approaches that of centralized models. Benchmark, code, and pre-trained LLMs are publicly available.

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