title: Behavioral insights on big data: using social media for predicting biomedical outcomes.
abstract: Social media 'big data' can provide valuable insights about people's behaviors, such as their likelihood of engaging in risk behaviors or contracting a disease. Although in its infancy, advancing this research provides the promise of predicting health-related behaviors to promptly prepare for and respond to public health emergencies and epidemics.
authors.affiliation: Center for Digital Behavior, Department of Family Medicine, University of California, Los Angeles, CA, USA. Electronic address: youngsean@ucla.edu.
authors.forename: Sean D
authors.initials: SD
authors.lastname: Young
mesh_terms: D001525:Behavioral Sciences / Q000379:methods* / Q000639:trends; D062665:Epidemiological Monitoring; D006801:Humans; D061108:Social Media / Q000706:statistics & numerical data
keywords: behavioral insights; big data; prediction; social media