This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1392) Infodemiology and Infoveillance (1369) Natural Language Processing (706) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 3, No 2 (2016): Apr-Jun

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

Authors of this article:

Scott R. Braithwaite1 Author Orcid Image ;   Christophe Giraud-Carrier2 Author Orcid Image ;   Josh West3 Author Orcid Image ;   Michael D. Barnes3 Author Orcid Image ;   Carl Lee Hanson3 Author Orcid Image
Article Authors Cited by (131) Tweetations (47) Metrics

Scott R. Braithwaite   1 * , PhD ;   Christophe Giraud-Carrier   2 * , PhD ;   Josh West   3 * , PhD ;   Michael D. Barnes   3 * , PhD ;   Carl Lee Hanson   3 * , PhD

1 Computational Health Science Research Group, Department of Psychology, Brigham Young University, Provo, UT, United States

2 Computational Health Science Research Group, Department of Computer Science, Brigham Young University, Provo, UT, United States

3 Computational Health Science Research Group, Department of Health Science, Brigham Young University, Provo, UT, United States

*all authors contributed equally

Corresponding Author:

  • Carl Lee Hanson, PhD
  • Computational Health Science Research Group
  • Department of Health Science
  • Brigham Young University
  • 4103B Life Sciences Building
  • Provo, UT, 84602
  • United States
  • Phone: 1 (801) 422-9103
  • Fax: 1 (801) 422-0004
  • Email: carl_hanson@byu.edu