Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients

BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at ensuring perfect PHI removal. As an alternative to...

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Detalles Bibliográficos
Autores principales: Sharma, Brihat, Dligach, Dmitriy, Swope, Kristin, Salisbury-Afshar, Elizabeth, Karnik, Niranjan S., Joyce, Cara, Afshar, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191715/
https://www.ncbi.nlm.nih.gov/pubmed/32349766
http://dx.doi.org/10.1186/s12911-020-1099-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191715/
https://www.ncbi.nlm.nih.gov/pubmed/32349766
http://dx.doi.org/10.1186/s12911-020-1099-y

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