Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records

Unknown adverse reactions to drugs available on the market present a significant health risk and limit accurate judgement of the cost/benefit trade-off for medications. Machine learning has the potential to predict unknown adverse reactions from current knowledge. We constructed a knowledge graph co...

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Detalles Bibliográficos
Autores principales: Bean, Daniel M., Wu, Honghan, Iqbal, Ehtesham, Dzahini, Olubanke, Ibrahim, Zina M., Broadbent, Matthew, Stewart, Robert, Dobson, Richard J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703951/
https://www.ncbi.nlm.nih.gov/pubmed/29180758
http://dx.doi.org/10.1038/s41598-017-16674-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703951/
https://www.ncbi.nlm.nih.gov/pubmed/29180758
http://dx.doi.org/10.1038/s41598-017-16674-x

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