Using NLP to extract concepts from chief complaints
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Updated: Aug 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Michael I Lieberman1, Thomas N Ricciardi
1GE Healthcare Technologies, Waukesha Wisconsin, and Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, USA.
Abstract:
The NLM's MMTx natural language processing (NLP) engine was used to extract concepts from chief complaints entered into an ambulatory electronic medical record (EMR). Of the over 600,000 strings submitted to the process, approximately 25% were assigned at least one concept, with a rate of 2% for incorrect assignments.
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