Identifying and classifying opioid‐related overdoses: A validation study

PURPOSE: The study aims to develop and validate algorithms to identify and classify opioid overdoses using claims and other coded data, and clinical text extracted from electronic health records using natural language processing (NLP). METHODS: Primary data were derived from Kaiser Permanente Northw...

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Detalles Bibliográficos
Autores principales: Green, Carla A., Perrin, Nancy A., Hazlehurst, Brian, Janoff, Shannon L., DeVeaugh‐Geiss, Angela, Carrell, David S., Grijalva, Carlos G., Liang, Caihua, Enger, Cheryl L., Coplan, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767606/
https://www.ncbi.nlm.nih.gov/pubmed/31020755
http://dx.doi.org/10.1002/pds.4772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767606/
https://www.ncbi.nlm.nih.gov/pubmed/31020755
http://dx.doi.org/10.1002/pds.4772

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