TY - JOUR
T1 - Using NLP to extract concepts from chief complaints.
AU - Lieberman, Michael I.
AU - Ricciardi, Thomas N.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=39049194365&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39049194365&partnerID=8YFLogxK
M3 - Article
C2 - 16779316
AN - SCOPUS:39049194365
SN - 1559-4076
SP - 1029
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -