Literature DB >> 16779316

Using NLP to extract concepts from chief complaints.

Michael I Lieberman1, Thomas N Ricciardi.   

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.

Mesh:

Year:  2005        PMID: 16779316      PMCID: PMC1560863     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Clinical terminology support for a national ambulatory practice outcomes research network.

Authors:  Thomas N Ricciardi; Michael I Lieberman; Michael G Kahn; F E Masarie
Journal:  AMIA Annu Symp Proc       Date:  2005
  1 in total

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