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2013 (Vol. 6, Issue: 22)
Article Information:

Evaluation of Metamap Performance in Radiographic Images Retrieval

Lilac Al-Safadi, Rawan Alomran and Fareeda Almutairi
Corresponding Author:  Lilac Al-Safadi 

Key words:  Biomedical, MetaMap, performance, UMLS, , ,
Vol. 6 , (22): 4231-4236
Submitted Accepted Published
February 15, 2013 March 21, 2013 December 05, 2013

A large amount of free text is available as a source of knowledge in the biomedical field. MetaMap is a widely used tool that identifies concepts within the UMLS in English text. In this study, we study the performance of MetaMap. Performance is measured in retrieval speed, precision of results and recall of results. This automated MetaMap indexing is compared with manual indexing of the same text. Results shows that MetaMap by default was able to identify 98.19% of the biomedical concepts occurred in the sample set. MetaMap by default identified 78.79% of the concepts that manually were not identified. MetaMap is tested under four scenarios; the default output, displaying the mapping list, restricting the candidates’ score within the candidate list and restricting the candidates’ score within the mapping list. This study describes the limitations of the MetaMap tool and ways to improve the performance of the tool and increase its recall and precision.
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  Cite this Reference:
Lilac Al-Safadi, Rawan Alomran and Fareeda Almutairi, 2013. Evaluation of Metamap Performance in Radiographic Images Retrieval.  Research Journal of Applied Sciences, Engineering and Technology , 6(22): 4231-4236.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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