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

e-Mental Health and Cyberpsychology (1127) Infodemiology and Infoveillance (1128) Machine Learning (1122) Natural Language Processing (535) Opioid and Related Substance Abuse Crisis (86) Depression and Mood Disorders; Suicide Prevention (1139)

Published on in Vol 22 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15293, first published .
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Authors of this article:

Hannah Yao 1 Author Orcid Image ;   Sina Rashidian 1 Author Orcid Image ;   Xinyu Dong 1 Author Orcid Image ;   Hongyi Duanmu 1 Author Orcid Image ;   Richard N Rosenthal 2 Author Orcid Image ;   Fusheng Wang 1 Author Orcid Image
Article Authors Cited by (15) Tweetations (13) Metrics

Journals

  1. Marks C, Carrasco-Escobar G, Carrasco-Hernández R, Johnson D, Ciccarone D, Strathdee S, Smith D, Bórquez A. Methodological approaches for the prediction of opioid use-related epidemics in the United States: a narrative review and cross-disciplinary call to action. Translational Research 2021;234:88 View
  2. Malhotra A, Jindal R. Deep learning techniques for suicide and depression detection from online social media: A scoping review. Applied Soft Computing 2022;130:109713 View
  3. Graves R, Perrone J, Al-Garadi M, Yang Y, Love J, O’Connor K, Gonzalez-Hernandez G, Sarker A. Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques. Journal of Addiction Medicine 2022;16(4):454 View
  4. Omranian S, Zolnoori M, Huang M, Campos-Castillo C, McRoy S. Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media. JMIR Infodemiology 2023;3:e37207 View
  5. Heckler W, de Carvalho J, Barbosa J. Machine learning for suicidal ideation identification: A systematic literature review. Computers in Human Behavior 2022;128:107095 View
  6. Kepner W, Meacham M, Nobles A. Types and Sources of Stigma on Opioid Use Treatment and Recovery Communities on Reddit. Substance Use & Misuse 2022;57(10):1511 View
  7. Young J, Bishop S, Humphrey C, Pavlacic J. A review of natural language processing in the identification of suicidal behavior. Journal of Affective Disorders Reports 2023;12:100507 View
  8. Gadhia S, Richards G, Marriott T, Rose J. Artificial intelligence and opioid use: a narrative review. BMJ Innovations 2023;9(2):78 View
  9. Zhang T, Schoene A, Ji S, Ananiadou S. Natural language processing applied to mental illness detection: a narrative review. npj Digital Medicine 2022;5(1) View
  10. Yeskuatov E, Chua S, Foo L. Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques. International Journal of Environmental Research and Public Health 2022;19(16):10347 View
  11. Goodwin S, Dwyer M, Caliva S, Burrows C, Raiff B. Using Reddit as a recruitment strategy for addiction science research. Journal of Substance Use and Addiction Treatment 2023;148:209011 View
  12. Rentz D, Heckler W, Barbosa J. A computational model for assisting individuals with suicidal ideation based on context histories. Universal Access in the Information Society 2023 View
  13. Son B. Foreign pop-culture and backlash: the case of non-fan K-pop Subreddits during the pandemic. Journal of Cultural Economics 2023 View
  14. Nunes D, Ferreira-Gomes J, Neto F, Martins de Matos D. Modeling Chronic Pain Experiences from Online Reports Using the Reddit Reports of Chronic Pain Dataset. Information 2023;14(4):237 View

Books/Policy Documents

  1. Sampath K, Durairaj T. Computational Intelligence in Data Science. View