Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing

利用自然语言处理技术从自由文本微生物学报告中提取抗生素敏感性信息

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Abstract

There is a clinical need to appropriately apply large language model (LLM)-based systems for use in infectious diseases. We sought to use LLM and machine learning for extracting antibiotic susceptibility from clinical microbiology free-text reports, allowing use for outbreak detection, increasing information gathering efficiency, and public health reporting.

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