Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction

BACKGROUND: Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential to help physicians save time by sharpening their analysis and decisions, thereby improving the health of patients. On the one hand, machine learning algorithms have proven their effectiveness...

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Detalles Bibliográficos
Autores principales: Gazzotti, Raphaël, Faron, Catherine, Gandon, Fabien, Lacroix-Hugues, Virginie, Darmon, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861628/
https://www.ncbi.nlm.nih.gov/pubmed/35193692
http://dx.doi.org/10.1186/s13326-022-00261-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861628/
https://www.ncbi.nlm.nih.gov/pubmed/35193692
http://dx.doi.org/10.1186/s13326-022-00261-9

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