Discovering and visualizing indirect associations between biomedical concepts | Zendy

Yoshimasa Tsuruoka | Zendy; Makoto Miwa | Zendy; Kaisei Hamamoto | Zendy; Jun’ichi Tsujii | Zendy; Sophia Ananiadou | Zendy

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Discovering and visualizing indirect associations between biomedical concepts

Author(s) -

Yoshimasa Tsuruoka,

Makoto Miwa,

Kaisei Hamamoto,

Jun’ichi Tsujii,

Sophia Ananiadou

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr214

Subject(s) - interpretability , computer science , visualization , process (computing) , information retrieval , biomedical text mining , data science , world wide web , text mining , data mining , artificial intelligence , operating system

Discovering useful associations between biomedical concepts has been one of the main goals in biomedical text-mining, and understanding their biomedical contexts is crucial in the discovery process. Hence, we need a text-mining system that helps users explore various types of (possibly hidden) associations in an easy and comprehensible manner.

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