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Citing this Article

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Published on 12.06.18 in Vol 20, No 6 (2018): June

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

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

Rachel Kornfield, Prathusha K Sarma, Dhavan V Shah, Fiona McTavish, Gina Landucci, Klaren Pe-Romashko, David H Gustafson

J Med Internet Res 2018 (Jun 12); 20(6):e10136 

According to Crossref, the following articles are citing this article (DOI 10.2196/10136):

(note that this is only a small subset of citations)

  1. Bergman BG, Wu W, Marsch LA, Crosier BS, DeLise TC, Hassanpour S. Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21916
    CrossRef
  2. Chen AT, Swaminathan A, Kearns WR, Alberts NM, Law EF, Palermo TM. Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain. Journal of Medical Internet Research 2019;21(4):e11756
    CrossRef
  3. Robila M, Robila SA. Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences. Journal of Child and Family Studies 2020;29(10):2954
    CrossRef
  4. Zhang R, Fu JS. Privacy Management and Self-Disclosure on Social Network Sites: The Moderating Effects of Stress and Gender. Journal of Computer-Mediated Communication 2020;25(3):236
    CrossRef
  5. Oliver JC, Kollen C, Hickson B, Rios F. Data Science Support at the Academic Library. Journal of Library Administration 2019;59(3):241
    CrossRef
  6. Howard D, Maslej MM, Lee J, Ritchie J, Woollard G, French L. Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. Journal of Medical Internet Research 2020;22(5):e15371
    CrossRef
  7. Ferraro G, Loo Gee B, Ji S, Salvador-Carulla L. Lightme: analysing language in internet support groups for mental health. Health Information Science and Systems 2020;8(1)
    CrossRef
  8. Bergman BG, Kelly JF. Online digital recovery support services: An overview of the science and their potential to help individuals with substance use disorder during COVID-19 and beyond. Journal of Substance Abuse Treatment 2021;120:108152
    CrossRef
  9. Aggarwal N, Ahmed M, Basu S, Curtin JJ, Evans BJ, Matheny ME, Nundy S, Sendak MP, Shachar C, Shah RU, Thadaney-Israni S. Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic. NAM Perspectives 2020;
    CrossRef
  10. Liu JC, Goetz J, Sen S, Tewari A. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data. JMIR mHealth and uHealth 2021;9(3):e23728
    CrossRef
  11. Davis-Martin RE, Alessi SM, Boudreaux ED. Alcohol Use Disorder in the Age of Technology: A Review of Wearable Biosensors in Alcohol Use Disorder Treatment. Frontiers in Psychiatry 2021;12
    CrossRef
  12. Klingemann J, Wieczorek . Mobile application recovery support for patients with an alcohol use disorder. Acceptance, usability, and perceived helpfulness. Journal of Addictive Diseases 2022;40(4):559
    CrossRef
  13. Cresta Morgado P, Carusso M, Alonso Alemany L, Acion L. Practical foundations of machine learning for addiction research. Part I. Methods and techniques. The American Journal of Drug and Alcohol Abuse 2022;48(3):260
    CrossRef
  14. Chia AZ, Zhang MW. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331
    CrossRef
  15. Yang F, Shah DV, Tahk A, Vjorn O, Dietz S, Pe-Romashko K, Bailey E, Gicquelais RE, Hwang J, Gustafson DH, Westergaard R. mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder. New Media & Society 2023;25(4):702
    CrossRef
  16. Guasti MT, Alexiadou A, Sauerland U. Undercompression errors as evidence for conceptual primitives. Frontiers in Psychology 2023;14
    CrossRef
  17. Yang EF, Kornfield R, Liu Y, Chih M, Sarma P, Gustafson D, Curtin J, Shah D. Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum. Journal of Medical Internet Research 2023;25:e45589
    CrossRef
  18. Yang Q, Ledbetter AM, Zhuang J, Richards AS. Theme and sentiment of posts in a weight loss subreddit predict popularity, engagement, and users’ weight loss: a computational approach. Human Communication Research 2023;49(4):452
    CrossRef
  19. Belanger MJ, Sondhi A, Mericle AA, Leidi A, Klein M, Collinson B, Patton D, White W, Chen H, Grimes A, Conner M, De Triquet B, Best D. Assessing a pilot scheme of intensive support and assertive linkage in levels of engagement, retention, and recovery capital for people in recovery housing using quasi-experimental methods. Journal of Substance Use and Addiction Treatment 2024;158:209283
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/10136):

  1. Ebert DD, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. 2019. Chapter 29:583
    CrossRef
  2. Lin ED, Schroeder M, Huang Y, Linwood SL. Digital Health. 2022. :33
    CrossRef
  3. Meter DJ, Ehrenreich SE. New Methods and Approaches for Studying Child Development. 2022. :269
    CrossRef
  4. Mbunge E, Batani J, Chitungo I, Moyo E, Musuka G, Muchemwa B, Dzinamarira T. Data Analytics in System Engineering. 2024. Chapter 29:361
    CrossRef