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Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data
Leveraging the NNCE, we develop strategies for selecting clinical categories and sections from source task data to boost cross-domain meta-learning accuracy.
A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries
To enable the adaptation of LLMs for BHC synthesis, we introduce a novel benchmark consisting of a pre-processed dataset extracted from MIMIC-IV notes, encapsulating clinical note, and brief hospital course (BHC) pairs.
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