A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records

BACKGROUND: Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to reduce the impact and prevalence of ADEs within the healthcar...

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Detalles Bibliográficos
Autores principales: Bagattini, Francesco, Karlsson, Isak, Rebane, Jonathan, Papapetrou, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327495/
https://www.ncbi.nlm.nih.gov/pubmed/30630486
http://dx.doi.org/10.1186/s12911-018-0717-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327495/
https://www.ncbi.nlm.nih.gov/pubmed/30630486
http://dx.doi.org/10.1186/s12911-018-0717-4

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