Identifying disease trajectories with predicate information from a knowledge graph

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 sequences,...

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Detalles Bibliográficos
Autores principales: Vlietstra, Wytze J., Vos, Rein, van den Akker, Marjan, van Mulligen, Erik M., Kors, Jan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439632/
https://www.ncbi.nlm.nih.gov/pubmed/32819419
http://dx.doi.org/10.1186/s13326-020-00228-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439632/
https://www.ncbi.nlm.nih.gov/pubmed/32819419
http://dx.doi.org/10.1186/s13326-020-00228-8

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