Using NLP to extract concepts from chief complaints

Using NLP to extract concepts from chief complaints

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% fo...

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Veröffentlicht in:AMIA ... Annual Symposium proceedings 2005, Vol.2005, p.1029-1029
Hauptverfasser: Lieberman, Michael I, Ricciardi, Thomas N
Format: Artikel
Sprache:eng
Schlagworte:
Abstracting and Indexing as Topic
Ambulatory Care Information Systems
Humans
Information Storage and Retrieval
Medical Records Systems, Computerized
Natural Language Processing
Unified Medical Language System
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Zusammenfassung: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.
ISSN:1559-4076