Smart Searching System for Biomedical Information
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Interactions between Biomedical entities provides meaningful information to detect and invent new drugs for diseases. Natural Language Processing-based Biomedical interaction extraction approach have shown encouraging results in the previous studies. While interaction extraction research has been a popular topic, research about searching and browsing methods for the extracted information has not been an attractive topic relatively. This demonstration presents a smart searching system that provides various analysis tools for Biomedical interactions in whole PubMed. We expect that researchers can discover and develop new research outcomes through the proposed searching system.
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