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Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients
In this paper, we focus our experiments on assessing the learned phenotypes and their relatedness as learned from a specific patient population.
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Summarization of clinical narratives is a long-standing research problem.
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization
To better understand the limitations of abstractive systems, as well as the suitability of existing evaluation metrics, we benchmark faithfulness metrics against fine-grained human annotations for model-generated summaries of a patient's Brief Hospital Course.
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval
To increase entity coverage, we train a smaller, encoder-only model to predict salient entities, which are treated as content-plans to guide the LLM.
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