Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach

BACKGROUND: Intervening in and preventing diabetes distress requires an understanding of its causes and, in particular, from a patient’s perspective. Social media data provide direct access to how patients see and understand their disease and consequently show the causes of diabetes distress. OBJECT...

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Detalles Bibliográficos
Autores principales: Ahne, Adrian, Khetan, Vivek, Tannier, Xavier, Rizvi, Md Imbesat Hassan, Czernichow, Thomas, Orchard, Francisco, Bour, Charline, Fano, Andrew, Fagherazzi, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346561/
https://www.ncbi.nlm.nih.gov/pubmed/35852829
http://dx.doi.org/10.2196/37201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346561/
https://www.ncbi.nlm.nih.gov/pubmed/35852829
http://dx.doi.org/10.2196/37201

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