most citedEvaluating robustness of language models for chief complaint extraction from patient-generated text

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CL2019★ 4 cited

Evaluating robustness of language models for chief complaint extraction from patient-generated text

Ilya Valmianski, Caleb Goodwin, Ian M. Finn +2

Automated classification of chief complaints from patient-generated text is a critical first step in developing scalable platforms to triage patients without human intervention. In…