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A normalized lexical lookup approach to identifying UMLS concepts in free text.

A normalized lexical lookup approach to identifying UMLS concepts in free text. Research Abstract Details 

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  • A normalized lexical lookup approach to identifying UMLS concepts in free text. Abstract Text:

    vijayaraghavan bashyamVijayaraghavan Bashyam,guy divitaGuy Divita,david b bennettDavid B Bennett,allen c browneAllen C Browne,ricky k tairaRicky K Taira,

    The National Library of Medicine has developed a tool to identify medical concepts from the Unified Medical Language System in free text. This tool - MetaMap (and its java version MMTx) has been used extensively for biomedical text mining applications. We have developed a module for MetaMap which has a high performance in terms of processing speed. We evaluated our module independently against MetaMap for the task of identifying UMLS concepts in free text clinical radiology reports. A set of 1000 sentences from neuro-radiology reports were collected and processed using our technique and the MMTx Program. An evaluation showed that our technique was able to identify 91% of the concepts found by MMTx in 14% of the time taken by MMTx. An error analysis showed that the missing concepts were largely those which were not direct lexical matches but inferential matches of multiple concepts. Our method also identified multi-phrase concepts which MMTx failed to identify. We suggest that this module be implemented as an option in MMTx for real-time text mining applications where single concepts found in the UMLS need to be identified.

    A normalized lexical lookup approach to identifying UMLS concepts in free text. Publishing Authors By Initials

    v bashyamV Bashyam,g divitaG Divita,db bennettDB Bennett,ac browneAC Browne,rk tairaRK Taira,

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    A normalized lexical lookup approach to identifying UMLS concepts in free text. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Medinfo. MEDINFO

    VOLUME: 12

    Page Numbers: 545-9

    Journal Abbreviation: Medinfo

    ISSN:

    DAY: 28

    MONTH: 11

    YEAR: 2007

    A normalized lexical lookup approach to identifying UMLS concepts in free text. Information

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    LANGUAGE: eng

    NlmUniqueID: 7600347

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    Grant and Affiliation Information for A normalized lexical lookup approach to identifying UMLS concepts in free text.

    AFFILIATION: Medical Imaging Informatics Group, University of California, Los Angeles, United States. vbashyam@ucla.edu

    Country: Netherlands

    Netherlands Research PublicationNetherlands Research Publication

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    MEDLINETA: Medinfo

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