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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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| Publicado no: | J Biomed Semantics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7439632/ https://ncbi.nlm.nih.gov/pubmed/32819419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-020-00228-8 |
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