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Identifying cancer biomarkers by knowledge discovery from medical literature

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5 Author(s)
Dawoud, K. ; Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada ; Qabaja, A. ; Shang Gao ; Alhajj, R.
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The importance of extracting valuable information from published articles has been well recognized by the research community. The literature is growing exponentially bringing the need for automated extraction of domain specific information. The outcome could serve a wide range of applications. We present MedBuilder as a tool capable of extracting relationships and association links from row data format, to produce an association network. It is a reliable system and has high flexibility to be used in wide range of areas. We test MedBuilder on biomedical field by extracting pubmed abstracts related to breast cancers.

Published in:

Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on

Date of Conference:

23-25 Feb. 2012