Evaluating the UMLS as a source of lexical knowledge for medical language processing

Medical language processing (MLP) systems rely on specialized lexicons in order to recognize, classify, and normalize medical terminology, and the performance of an MLP system is dependent on the coverage and quality of such lexicons. However, the acquisition of lexical knowledge is expensive and ti...

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Veröffentlicht in:Proceedings. AMIA Symposium. - 1998. - (2001) vom: 11., Seite 189-93
1. Verfasser: Friedman, C (VerfasserIn)
Weitere Verfasser: Liu, H, Shagina, L, Johnson, S, Hripcsak, G
Format: Aufsatz
Sprache:English
Veröffentlicht: 2001
Zugriff auf das übergeordnete Werk:Proceedings. AMIA Symposium
Schlagworte:Evaluation Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.
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100 1 |a Friedman, C  |e verfasserin  |4 aut 
245 1 0 |a Evaluating the UMLS as a source of lexical knowledge for medical language processing 
264 1 |c 2001 
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500 |a Date Completed 24.05.2002 
500 |a Date Revised 10.12.2019 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a Medical language processing (MLP) systems rely on specialized lexicons in order to recognize, classify, and normalize medical terminology, and the performance of an MLP system is dependent on the coverage and quality of such lexicons. However, the acquisition of lexical knowledge is expensive and time-consuming. The UMLS is a comprehensive resource that can be used to acquire lexical knowledge needed for medical language processing. This paper describes methods that use these resources to automatically create lexical entries and generate two lexicons. The first lexicon was created primarily using the UMLS, whereas the second was created by supplementing the lexicon of an existing MLP system called MedLEE with entries based on the UMLS. We subsequently carried out a study, which is the primary focus of this paper, using MedLEE with each of the two lexicons and also the current MedLEE lexicon to measure performance. Overall accuracy, sensitivity, and specificity using the lexicon primarily based on the UMLS were.86,.60, and.96 respectively. Those measures using the MedLEE lexicon alone were.93,.81, and.93, which was significantly better except for specificity; performance using the supplemental lexicon was exactly the same as performance using solely the MedLEE lexicon 
650 4 |a Evaluation Study 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, P.H.S. 
700 1 |a Liu, H  |e verfasserin  |4 aut 
700 1 |a Shagina, L  |e verfasserin  |4 aut 
700 1 |a Johnson, S  |e verfasserin  |4 aut 
700 1 |a Hripcsak, G  |e verfasserin  |4 aut 
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