Cargando…
Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine
IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adolescents. An understanding of public perceptions from the perspective of behavior change theories can facilitate effective and targeted vaccine promotion strategies. OBJECTIVE: To develop and validate d...
Autores principales: | Du, Jingcheng, Luo, Chongliang, Shegog, Ross, Bian, Jiang, Cunningham, Rachel M., Boom, Julie A., Poland, Gregory A., Chen, Yong, Tao, Cui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666426/ https://www.ncbi.nlm.nih.gov/pubmed/33185676 http://dx.doi.org/10.1001/jamanetworkopen.2020.22025 |
Ejemplares similares
-
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
por: Du, Jingcheng, et al.
Publicado: (2019) -
Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions
por: Du, Jingcheng, et al.
Publicado: (2021) -
Sociodemographic Variations in Women’s Reports of Discussions With Clinicians About Breast Density
por: Kressin, Nancy R., et al.
Publicado: (2023) -
Skincare in Social Media: Analyzing Prominent Themes in Online Dermatologic Discussions
por: Reddy, Aakash
Publicado: (2021) -
Comparability of clinical trials and spontaneous reporting data regarding COVID-19 vaccine safety
por: Luo, Chongliang, et al.
Publicado: (2022)