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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Bibliographische Detailangaben
Veröffentlicht in:Pharmacoepidemiol Drug Saf
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2019
Schlagworte:
Original Reports
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6767606/
https://ncbi.nlm.nih.gov/pubmed/31020755
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pds.4772
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