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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1493) Infodemiology and Infoveillance (1334) Machine Learning (1436) Natural Language Processing (679) Opioid and Related Substance Misuse (143) Depression and Mood Disorders; Suicide Prevention (1345)

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 Yao1 Author Orcid Image ;   Sina Rashidian1 Author Orcid Image ;   Xinyu Dong1 Author Orcid Image ;   Hongyi Duanmu1 Author Orcid Image ;   Richard N Rosenthal2 Author Orcid Image ;   Fusheng Wang1 Author Orcid Image
Article Authors Cited by (26) Tweetations (14) 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 2024;23(3):1447 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
  15. Zhang T, Yang K, Alhuzali H, Liu B, Ananiadou S. PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. Information Processing & Management 2023;60(5):103417 View
  16. Chi Y, Chen H. Investigating Substance Use via Reddit: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e48905 View
  17. Pei Y, O'Brien K. Use of Social Media Data Mining to Examine Needs, Concerns, and Experiences of People With Traumatic Brain Injury. American Journal of Speech-Language Pathology 2024;33(2):831 View
  18. Mieles Toloza I, Delgado Meza J, Acevedo-Suárez J. Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios. Revista Politécnica 2024;53(1):57 View
  19. Khosravi H, Ahmed I, Choudhury A. Predicting Suicidal Ideation, Planning, and Attempts among the Adolescent Population of the United States. Healthcare 2024;12(13):1262 View
  20. Atmakuru A, Shahini A, Chakraborty S, Seoni S, Salvi M, Hafeez-Baig A, Rashid S, Tan R, Barua P, Molinari F, Acharya U. Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023). Information Fusion 2025;114:102673 View
  21. Almeida A, Patton T, Conway M, Gupta A, Strathdee S, Bórquez A. The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review. JMIR Infodemiology 2024;4:e51156 View
  22. Kerasiotis M, Ilias L, Askounis D. Depression detection in social media posts using transformer-based models and auxiliary features. Social Network Analysis and Mining 2024;14(1) View
  23. Alatawi H, Abudalfa S, Luqman H. Empirical Analysis for Detecting Arabic Online Suicidal Ideation. Procedia Computer Science 2024;244:143 View

Books/Policy Documents

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