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

Special Issue on Computing and Mental Health (2018) (33) Peer-to-Peer Support and Online Communities (636) Natural Language Processing (692) Substance Abuse (419) Machine Learning (1465) Linguistics, Comprehension, and Learning (52)

Published on in Vol 20, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10136, first published .
Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Authors of this article:

Rachel Kornfield1 Author Orcid Image ;   Prathusha K Sarma2 Author Orcid Image ;   Dhavan V Shah1 Author Orcid Image ;   Fiona McTavish3 Author Orcid Image ;   Gina Landucci3 Author Orcid Image ;   Klaren Pe-Romashko3 Author Orcid Image ;   David H Gustafson3 Author Orcid Image
Article Authors Cited by (26) Tweetations (9) Metrics

Rachel Kornfield   1 * , MA ;   Prathusha K Sarma   2 * , MS ;   Dhavan V Shah   1 , PhD ;   Fiona McTavish   3 , MA ;   Gina Landucci   3 , BS ;   Klaren Pe-Romashko   3 , MS ;   David H Gustafson   3 , PhD

1 School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, United States

2 Department of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States

3 Center for Health Enhancement System Studies, University of Wisconsin-Madison, Madison, WI, United States

*these authors contributed equally

Corresponding Author:

  • Rachel Kornfield, MA
  • School of Journalism and Mass Communication
  • University of Wisconsin-Madison
  • 5115 Vilas Hall
  • 821 University Avenue
  • Madison, WI, 53706
  • United States
  • Phone: 1 4153355356
  • Fax: 1 608 890 1438
  • Email: rkornfield@gmail.com