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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study.

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第一作者： Hongbo,Chen

第一单位： Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.

作者： Hongbo,Chen ^[1] ; Myrtede,Alfred ^[1] ; Eldan,Cohen ^[1]

作者单位： Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada. ^[1]

关键词 artificial intelligence electronic health record fairness few-shot in-context learning large language model machine learning prompting strategy stigmatizing language text classification zero-shot

医学主题词人类(Humans);电子健康病历(Electronic Health Records);语言(Language);社会污点(Social Stigma);刻板(Stereotyping);男(雄)性(Male);女(雌)性(Female)

DOI 10.2196/68955

PMID 40825541

发布时间 2025-12-19

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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study.

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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study.

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