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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1812) Infodemiology and Infoveillance (1459) Machine Learning (1742) Natural Language Processing (803) Opioid and Related Substance Misuse (173) Depression and Mood Disorders; Suicide Prevention (1522)

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 (32) 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 2024;48(1):117 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
  24. Yeskuatov E, Chua S, Foo L. Detecting Suicidal Ideations in Online Forums with Textual and Psycholinguistic Features. Applied Sciences 2024;14(21):9911 View
  25. Schoene A, Garverich S, Ibrahim I, Shah S, Irving B, Dacso C. Automatically extracting social determinants of health for suicide: a narrative literature review. npj Mental Health Research 2024;3(1) View
  26. Meng X, Cui X, Zhang Y, Wang S, Wang C, Li M, Yang J. Mining Suicidal Ideation in Chinese Social Media: A Dual-Channel Deep Learning Model with Information Gain Optimization. Entropy 2025;27(2):116 View
  27. Chan G, Fung M, Warrington J, Nowak S. Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis. JMIR Formative Research 2025;9:e55309 View
  28. Abdelmoteleb S, Ghallab M, IsHak W. Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews. Journal of Affective Disorders 2025;382:525 View
  29. Esmi N, Shahbahrami A, Gaydadjiev G, de Jonge P. Suicide ideation detection based on documents dimensionality expansion. Computers in Biology and Medicine 2025;192:110266 View

Books/Policy Documents

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

Conference Proceedings

  1. Gupta B, Pokhriyal N, Gola K, Mridula . 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS). Detecting Depression in Reddit Posts using Hybrid Deep Learning Model LSTM-CNN View
  2. Wang Y, Fang Z, Du W, Xu S, Xu R, Li J. Proceedings of the 2024 8th International Conference on Medical and Health Informatics. Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network View