Detecting clinically relevant new information in clinical notes across specialties and settings

BACKGROUND: Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and clinical research, respectively. We evaluated methods to automatically identify cl...

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Detalles Bibliográficos
Autores principales: Zhang, Rui, Pakhomov, Serguei V. S., Arsoniadis, Elliot G., Lee, Janet T., Wang, Yan, Melton, Genevieve B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506580/
https://www.ncbi.nlm.nih.gov/pubmed/28699564
http://dx.doi.org/10.1186/s12911-017-0464-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506580/
https://www.ncbi.nlm.nih.gov/pubmed/28699564
http://dx.doi.org/10.1186/s12911-017-0464-y

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