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Complex associated network-based biomedical research structure mining / 中华医学图书情报杂志
Chinese Journal of Medical Library and Information Science ; (12): 1-4, 2015.
Artículo en Chino | WPRIM | ID: wpr-477964
ABSTRACT
A biomedical entity association evolution network was constructed by mining the implicit associations in PubMed-covered literature, which can help scientific researchers to form new scientific hypotheses, to analyze the topological features of associated network, to study the scientific literature-enriched knowledge structure, associa-tions, development rules, to introduce new visual angles and methods for literature-based knowledge discovery, and to improve the knowledge discovery efficiency.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Medical Library and Information Science Año: 2015 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Medical Library and Information Science Año: 2015 Tipo del documento: Artículo