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Author Affiliations
- Technion—Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel
- Mrs Badian and Dr Ophir contributed equally to the article.
- Technion—Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel
- University of Cambridge, Centre for Human Inspired Artificial Intelligence, Cambridge, UK
- Corresponding Author: Yaakov Ophir, PhD, Technion—Israel Institute of Technology, Technion City, Haifa 3200003 ([email protected]).
- Mrs Badian and Dr Ophir contributed equally to the article.
- Technion—Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel
- Technion—Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel
- Reichman University, Baruch Ivcher School of Psychology, Herzliya, Israel
- Technion—Israel Institute of Technology, Rappaport Faculty of Medicine, Haifa, Israel
- Technion—Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel
References (59)
- Turecki G, Brent DA, Gunnell D, et al. Suicide and suicide risk. Nat Rev Dis Primers. 2019;5(1):74. PubMed CrossRef
- Hedegaard H, Curtin SC, Warner M. Suicide Rates in the United States Continue to Increase. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 2018.
- Moutier C. Suicide prevention in the COVID-19 era: transforming threat into opportunity. JAMA Psychiatry. Published online October 16, 2020. PubMed
- Klomek AB. Suicide prevention during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(5):390. PubMed CrossRef
- Banerjee D, Kosagisharaf JR, Sathyanarayana Rao TS. ‘The dual pandemic’ of suicide and COVID-19: a biopsychosocial narrative of risks and prevention. Psychiatry Res. 2021;295:113577. PubMed CrossRef
- Gunnell D, Appleby L, Arensman E, et al; COVID-19 Suicide Prevention Research Collaboration. Suicide risk and prevention during the COVID-19 pandemic. Lancet Psychiatry. 2020;7(6):468–471. PubMed CrossRef
- Samji H, Wu J, Ladak A, et al. Review: mental health impacts of the COVID‐19 pandemic on children and youth–a systematic review. Child Adolesc Ment Health. 2022;27(2):173–189. PubMed
- Zaninotto P, Iob E, Demakakos P, et al. Immediate and longer-term changes in the mental health and well-being of older adults in england during the COVID-19 pandemic. JAMA Psychiatry. 2022;79(2):151–159. PubMed CrossRef
- Vizheh M, Qorbani M, Arzaghi SM, et al. The mental health of healthcare workers in the COVID-19 pandemic: a systematic review. J Diabetes Metab Disord. 2020;19(2):1967–1978. PubMed CrossRef
- Yao H, Chen J-H, Xu Y-F. Patients with mental health disorders in the COVID-19 epidemic. Lancet Psychiatry. 2020;7(4):e21. PubMed CrossRef
- Li LZ, Wang S. Prevalence and predictors of general psychiatric disorders and loneliness during COVID-19 in the United Kingdom. Psychiatry Res. 2020;291:113267. PubMed CrossRef
- Ren X, Huang W, Pan H, et al. Mental health during the Covid-19 outbreak in China: a meta-analysis. Psychiatr Q. 2020;91(4):1033–1045. PubMed CrossRef
- Taquet M, Geddes JR, Husain M, et al. 6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records. Lancet Psychiatry. 2021;8(5):416–427. PubMed CrossRef
- Ellis WE, Dumas TM, Forbes LM. Physically isolated but socially connected: psychological adjustment and stress among adolescents during the initial COVID-19 crisis. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement. 2020;52(3):177–187. CrossRef
- Murata S, Rezeppa T, Thoma B, et al. The psychiatric sequelae of the COVID-19 pandemic in adolescents, adults, and health care workers. Depress Anxiety. 2021;38(2):233–246. PubMed CrossRef
- Zhang L, Zhang D, Fang J, et al. Assessment of mental health of Chinese primary school students before and after school closing and opening during the COVID-19 pandemic. JAMA Netw Open. 2020;3(9):e2021482. PubMed CrossRef
- Sakamoto H, Ishikane M, Ghaznavi C, et al. Assessment of suicide in Japan during the COVID-19 pandemic vs previous years. JAMA Netw Open. 2021;4(2):e2037378. PubMed CrossRef
- Dubé JP, Smith MM, Sherry SB, et al. Suicide behaviors during the COVID-19 pandemic: a meta-analysis of 54 studies. Psychiatry Res. 2021;301:113998. PubMed CrossRef
- Bruffaerts R, Demyttenaere K, Hwang I, et al. Treatment of suicidal people around the world. Br J Psychiatry. 2011;199(1):64–70. PubMed CrossRef
- Franklin JC, Ribeiro JD, Fox KR, et al. Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol Bull. 2017;143(2):187–232. PubMed CrossRef
- Sejnowski TJ. The deep learning revolution. Mit Press; 2018.
- Roy A, Nikolitch K, McGinn R, et al. A machine learning approach predicts future risk to suicidal ideation from social media data. NPJ Digit Med. 2020;3(1):78. PubMed CrossRef
- Coppersmith G, Leary R, Crutchley P, et al. Natural language processing of social media as screening for suicide risk. Biomed Inform Insights. 2018;10:1178222618792860. PubMed CrossRef
- Ophir Y, Tikochinski R, Asterhan CSC, et al. Deep neural networks detect suicide risk from textual Facebook posts. Sci Rep. 2020;10(1):16685. PubMed CrossRef
- Zirikly A, Resnik P, Uzuner O, et al. CLPsych 2019 shared task: predicting the degree of suicide risk in Reddit posts. Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology. 2019 2019:24-33.
- Zheng L, Wang O, Hao S, et al. Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Transl Psychiatry. 2020;10(1):72. PubMed CrossRef
- Bernert RA, Hilberg AM, Melia R, et al. Artificial intelligence and suicide prevention: a systematic review of machine learning investigations. Int J Environ Res Public Health. 2020;17(16):5929. PubMed CrossRef
- Burke TA, Ammerman BA, Jacobucci R. The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: a systematic review. J Affect Disord. 2019;245:869–884. PubMed CrossRef
- Resnik P, Foreman A, Kuchuk M, et al. Naturally occurring language as a source of evidence in suicide prevention. Suicide Life Threat Behav. 2021;51(1):88–96. PubMed
- Ji S, Pan S, Li X, et al. Suicidal ideation detection: a review of machine learning methods and applications. IEEE Trans Comput Soc Syst. 2021;8(1)214–226.
- Ophir Y, Tikochinski R, Brunstein Klomek A, et al. The Hitchhiker’s Guide to computational linguistics in suicide prevention. Clin Psychol Sci. 2022;10(2):212–235. CrossRef
- Ophir Y, Rosenberg H, Lipshits-Braziler Y, et al. “Digital Adolescence”: The Effects of Smartphones and Social Networking Technologies on Adolescents’ Well-Being. Online Peer Engagement in Adolescence. Routledge; 2020:122–139.
- Stravynski A, Boyer R. Loneliness in relation to suicide ideation and parasuicide: a population-wide study. Suicide Life Threat Behav. 2001;31(1):32–40. PubMed CrossRef
- Bennardi M, Caballero FF, Miret M, et al. Longitudinal relationships between positive affect, loneliness, and suicide ideation: age-specific factors in a general population. Suicide Life Threat Behav. 2019;49(1):90–103. PubMed CrossRef
- Rogers ML, Joiner TE. Rumination, suicidal ideation, and suicide attempts: a meta-analytic review. Rev Gen Psychol. 2017;21(2):132–142. CrossRef
- Ribeiro JD, Joiner TE. The interpersonal-psychological theory of suicidal behavior: current status and future directions. J Clin Psychol. 2009;65(12):1291–1299. PubMed CrossRef
- Joiner T. Why People Die by Suicide. Harvard University Press; 2009.
- Bretherton I. The Origins of Attachment Theory: John Bowlby and Mary Ainsworth. Attachment Theory. Routledge; 2013:45–84.
- Markowitz JC, Weissman MM. Interpersonal psychotherapy: principles and applications. World Psychiatry. 2004;3(3):136–139. PubMed
- Ewing ESK, Diamond G, Levy S. Attachment-based family therapy for depressed and suicidal adolescents: theory, clinical model and empirical support. Attach Hum Dev. 2015;17(2):136–156. PubMed CrossRef
- Diamond G, Diamond GM, Levy S. Attachment-based family therapy: theory, clinical model, outcomes, and process research. J Affect Disord. 2021;294:286–295. PubMed CrossRef
- Chancellor S, De Choudhury M. Methods in predictive techniques for mental health status on social media: a critical review. NPJ Digit Med. 2020;3(1):43. PubMed CrossRef
- Ophir Y, Asterhan CSC, Schwarz BB. The digital footprints of adolescent depression, social rejection and victimization of bullying on Facebook. Comput Human Behav. 2019;91:62–71. CrossRef
- Ophir Y. SOS on SNS: adolescent distress on social network sites. Comput Human Behav. 2017;68:51–55. CrossRef
- Brown TB, Mann B, Ryder N, et al. Language models are few-shot learners. arXiv preprint arXiv:2005.14165. 2020.
- Lee E, Lee J-A, Moon JH, et al. Pictures speak louder than words: motivations for using instagram. Cyberpsychol Behav Soc Netw. 2015;18(9):552–556. PubMed CrossRef
- Herring S, Dainas A. “Nice Picture Comment!” Graphicons in Facebook Comment Threads. 2017.
- Tang Y, Hew KF. Emoticon, emoji, and sticker use in computer-mediated communication: a review of theories and research findings. Int J Commun. 2019;13:27.
- Bai Q, Dan Q, Mu Z, et al. A systematic review of emoji: current research and future perspectives. systematic review. Front Psychol. 2019;10:2221. PubMed CrossRef
- Alishahi A, Chrupała G, Linzen T. Analyzing and interpreting neural networks for NLP: a report on the first BlackboxNLP workshop. Nat Lang Eng. 2019;25(4):543–557. CrossRef
- Posner K, Brown GK, Stanley B, et al. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011;168(12):1266–1277. PubMed CrossRef
- Ophir Y, Sisso I, Asterhan CSC, et al. The turker blues: hidden factors behind increased depression rates among Amazon’s Mechanical Turkers. Clin Psychol Sci. 2020;8(1):65–83. CrossRef
- Radford A, Kim JW, Hallacy C, et al. Learning Transferable Visual Models From Natural Language Supervision. PMLR; 2021:8748–8763.
- He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. 2016:770–778.
- Ramírez-Cifuentes D, Freire A, Baeza-Yates R, et al. Detection of suicidal ideation on social media: multimodal, relational, and behavioral analysis. J Med Internet Res. 2020;22(7):e17758. PubMed CrossRef
- Ma Y, Cao Y. Dual Attention based Suicide Risk Detection on Social Media. IEEE; 2020:637–640.
- Huang Y, Li W, Macheret F, et al. A tutorial on calibration measurements and calibration models for clinical prediction models. J Am Med Inform Assoc. 2020;27(4):621–633. PubMed CrossRef
- Rodway C, Tham S-G, Turnbull P, et al. Suicide in children and young people: can it happen without warning? J Affect Disord. 2020;275:307–310. PubMed CrossRef
- Ribeiro JD, Huang X, Fox KR, et al. Predicting imminent suicidal thoughts and nonfatal attempts: the role of complexity. Clin Psychol Sci. 2019;7(5):941–957. CrossRef