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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing
Andrew Chou1,2,3, Ronald George Hauser1,3,4, Lori A Bastian1,5
1VA Connecticut Healthcare System, West Haven, CT, USA.
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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