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

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

Abstract 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 effect...

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Bibliographic Details
Main Authors: Raphaël Gazzotti, Catherine Faron, Fabien Gandon, Virginie Lacroix-Hugues, David Darmon
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Journal of Biomedical Semantics
Subjects:
Electronic medical records
Predictive model
Knowledge graph
Feature selection
Online Access:https://doi.org/10.1186/s13326-022-00261-9

Internet

https://doi.org/10.1186/s13326-022-00261-9

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