Identifying disease trajectories with predicate information from a knowledge graph

Identifying disease trajectories with predicate information from a knowledge graph

Abstract Background Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are often diagnosed in patients in specific temporal se...

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Bibliographic Details
Main Authors: Wytze J. Vlietstra, Rein Vos, Marjan van den Akker, Erik M. van Mulligen, Jan A. Kors
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Journal of Biomedical Semantics
Subjects:
Knowledge graph
Disease trajectories
Predicates
Temporal relationships
Directionality of predicates
Protein-protein interactions
Online Access:http://link.springer.com/article/10.1186/s13326-020-00228-8

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http://link.springer.com/article/10.1186/s13326-020-00228-8

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