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Using statistical anomaly detection models to find clinical decision support malfunctions
OBJECTIVE: Malfunctions in Clinical Decision Support (CDS) systems occur due to a multitude of reasons, and often go unnoticed, leading to potentially poor outcomes. Our goal was to identify malfunctions within CDS systems. METHODS: We evaluated 6 anomaly detection models: (1) Poisson Changepoint Mo...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6016695/ https://ncbi.nlm.nih.gov/pubmed/29762678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy041 |
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