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 i...

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Vydané v:	Journal of biomedical semantics Ročník 13; číslo 1; s. 6 - 20
Hlavní autori:	Gazzotti, Raphaël, Faron, Catherine, Gandon, Fabien, Lacroix-Hugues, Virginie, Darmon, David
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 22.02.2022 BioMed Central Ltd BMC
Predmet:	Algorithms Artificial Intelligence Bioinformatics Combinatorial Libraries Computation and Language Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer Science Data Mining and Knowledge Discovery Document and Text Processing Electronic Health Records Electronic medical records Electronic records Feature selection Forecasts and trends Hospital care Hospitalization Humans Knowledge graph Machine Learning Mathematics Mathematics and Statistics Medical informatics Medical records Methods Pattern Recognition, Automated Predictive model Statistics Web France Feature selection Electronic medical records Predictive model Knowledge graph predictive model electronic medical records knowledge graph feature selection
ISSN:	2041-1480, 2041-1480
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