Cargando…
Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study
BACKGROUND: Patients use social media as an alternative information source, where they share information and provide social support. Although large amounts of health-related data are posted on Twitter and other social networking platforms each day, research using social media data to understand chro...
Autores principales: | Stemmer, Maya, Parmet, Yisrael, Ravid, Gilad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382547/ https://www.ncbi.nlm.nih.gov/pubmed/35917151 http://dx.doi.org/10.2196/29186 |
Ejemplares similares
-
What are IBD Patients Talking About on Twitter? Using Natural Language Understanding to Investigate Patients’ Tweets
por: Stemmer, Maya, et al.
Publicado: (2023) -
Pedestrians’ Understanding of a Fully Autonomous Vehicle’s Intent to Stop: A Learning Effect Over Time
por: Hochman, Michal, et al.
Publicado: (2020) -
Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload
por: Zak, Yuval, et al.
Publicado: (2022) -
NC 4.0, a Novel Approach to Nonconformities Management: Prioritizing Events With Risk Management Tools
por: Ravoy, Dvir, et al.
Publicado: (2021) -
Major differences in microRNA quantification are platform and sequence dependent
por: Feldmesser, Ester, et al.
Publicado: (2012)