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Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program (2001)
| Citations: | 379 - 4 self |
BibTeX
@MISC{Aronson01effectivemapping,
author = {Alan R. Aronson},
title = {Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program},
year = {2001}
}
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Abstract
The UMLS® Metathesaurus®, the largest thesaurus in the biomedical domain, provides a representation of biomedical knowledge consisting of concepts classified by semantic type and both hierarchical and nonhierarchical relationships among the concepts. This knowledge has proved useful for many applications including decision support systems, management of patient records, information retrieval (IR) and data mining. Gaining effective access to the knowledge is critical to the success of these applications. This paper describes MetaMap, a program developed at the National Library of Medicine (NLM) to map biomedical text to the Metathesaurus or, equivalently, to discover Metathesaurus concepts referred to in text. MetaMap uses a knowledge intensive approach based on symbolic, natural language processing (NLP) and computational linguistic techniques. Besides being applied for both IR and data mining applications, MetaMap is one of the foundations of NLM’s Indexing Initiative System which is being applied to both semiautomatic and fully automatic indexing of the biomedical literature at the library.
Keyphrases
biomedical text umls metathesaurus metamap program effective mapping metathesaurus concept biomedical literature automatic indexing effective access computational linguistic technique knowledge intensive approach information retrieval nonhierarchical relationship data mining biomedical domain semantic type decision support system many application natural language processing indexing initiative system data mining application biomedical knowledge consisting patient record national library
