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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| 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 |