Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study

OBJECTIVE: To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. DATA SOURCE: With respect to the linguistic content, we analyzed 283 216 secure messages sent by 6941 diabetes patients to physicians within...

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Detalles Bibliográficos
Autores principales: Schillinger, Dean, Balyan, Renu, Crossley, Scott A., McNamara, Danielle S., Liu, Jennifer Y., Karter, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Evaluation Tools
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839650/
https://www.ncbi.nlm.nih.gov/pubmed/32966630
http://dx.doi.org/10.1111/1475-6773.13560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839650/
https://www.ncbi.nlm.nih.gov/pubmed/32966630
http://dx.doi.org/10.1111/1475-6773.13560

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