Our knowledge extractors rely extensively on MetaMap ( Aronson 2001 ) , a system for identifying segments of text that correspond to concepts in the UMLS Metathesaurus .
effective mapping of biomedical text to the umls metathesaurus the metamap program
Alan R Aronson
Each individual PICO extractor takes as input the abstract text of a MEDLINE citation and identifies the relevant elements : Outcomes are complete sentences , while population , problems , and interventions are short noun phrases . Our knowledge extractors rely extensively on MetaMap ( Aronson 2001 ) , a system for identifying segments of text that correspond to concepts in the UMLS Metathesaurus . Many of our algorithms operate at the level of coarser-grained semantic types called Semantic Groups ( McCray , Burgun , and Bodenreider 2001 ) , which capture higher-level generalizations about entities ( e.g. , CHEMICALS & DRUGS ) .
Our knowledge extractors rely extensively on MetaMap ( @@CITATION ) , a system for identifying segments of text that correspond to concepts in the UMLS Metathesaurus .