A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study

OBJECTIVES: Patient-generated health data (PGHD) are important for tracking and monitoring out of clinic health events and supporting shared clinical decisions. Unstructured text as PGHD (eg, medical diary notes and transcriptions) may encapsulate rich information through narratives which can be cri...

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Detalles Bibliográficos
Autores principales: Hussain, Syed-Amad, Sezgin, Emre, Krivchenia, Katelyn, Luna, John, Rust, Steve, Huang, Yungui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480545/
https://www.ncbi.nlm.nih.gov/pubmed/34604710
http://dx.doi.org/10.1093/jamiaopen/ooab084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480545/
https://www.ncbi.nlm.nih.gov/pubmed/34604710
http://dx.doi.org/10.1093/jamiaopen/ooab084

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