Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing

Social media presents a rich opportunity to gather health information with limited intervention through the analysis of completely unstructured and unlabeled microposts. We sought to estimate the health-related quality of life (HRQOL) of Twitter users using automated semantic processing methods. We...

Descripción completa

Detalles Bibliográficos
Autores principales: Sarma, Karthik V., Spiegel, Brennan M. R., Reid, Mark W., Chen, Shawn, Merchant, Raina M., Seltzer, Emily, Arnold, Corey W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081585/
https://www.ncbi.nlm.nih.gov/pubmed/31438088
http://dx.doi.org/10.3233/SHTI190388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081585/
https://www.ncbi.nlm.nih.gov/pubmed/31438088
http://dx.doi.org/10.3233/SHTI190388

Ejemplares similares