Abstract
In this research, we provided a dictionary-based approach for identifying biomedical concepts from literature. The approach first crawled experimental corpus by E-utilities, and build a concept dictionary. Then, we developed an algorithm called VWIA for matching biomedical concepts based on preprocessing, POS tagging, and the formation of phrase block. The approach could identify embedded biomedical concepts, which could identify concepts more completely. The proposed approach is promising for the method of biomedical text mining by the final experimental results.
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