Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

BACKGROUND: Patients with breast cancer have a variety of worries and need multifaceted information support. Their accumulated posts on social media contain rich descriptions of their daily worries concerning issues such as treatment, family, and finances. It is important to identify these issues to...

Descripción completa

Detalles Bibliográficos
Autores principales: Watanabe, Tomomi, Yada, Shuntaro, Aramaki, Eiji, Yajima, Hiroshi, Kizaki, Hayato, Hori, Satoko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206207/
https://www.ncbi.nlm.nih.gov/pubmed/35657664
http://dx.doi.org/10.2196/37840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206207/
https://www.ncbi.nlm.nih.gov/pubmed/35657664
http://dx.doi.org/10.2196/37840

Ejemplares similares