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

Journals
- Oexle N, Niederkrotenthaler T, DeLeo D. Emerging trends in suicide prevention research. Current Opinion in Psychiatry 2019;32(4):336 View
- Tadesse M, Lin H, Xu B, Yang L. Detection of Suicide Ideation in Social Media Forums Using Deep Learning. Algorithms 2019;13(1):7 View
- Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
- Cacheda F, Fernandez D, Novoa F, Carneiro V. Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research 2019;21(6):e12554 View
- Bernert R, Hilberg A, Melia R, Kim J, Shah N, Abnousi F. Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations. International Journal of Environmental Research and Public Health 2020;17(16):5929 View
- Chancellor S, De Choudhury M. Methods in predictive techniques for mental health status on social media: a critical review. npj Digital Medicine 2020;3(1) View
- Shen Y, Zhang W, Chan B, Zhang Y, Meng F, Kennon E, Wu H, Luo X, Zhang X. Detecting risk of suicide attempts among Chinese medical college students using a machine learning algorithm. Journal of Affective Disorders 2020;273:18 View
- Strand M, Gustafsson S. Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts. Culture, Medicine, and Psychiatry 2020;44(4):586 View
- Soron T, Shariful Islam S. Suicide on Facebook-the tales of unnoticed departure in Bangladesh. Global Mental Health 2020;7 View
- Davis , Sedig , Lizotte . Archetype-Based Modeling and Search of Social Media. Big Data and Cognitive Computing 2019;3(3):44 View
- Fonseka T, Bhat V, Kennedy S. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;53(10):954 View
- Yao H, Rashidian S, Dong X, Duanmu H, Rosenthal R, Wang F. Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach. Journal of Medical Internet Research 2020;22(11):e15293 View
- Liu D, Fu Q, Wan C, Liu X, Jiang T, Liao G, Qiu X, Liu R. Suicidal Ideation Cause Extraction From Social Texts. IEEE Access 2020;8:169333 View
- Garg S, Raigosa A, Aiman R. Investigating differential linguistic patterns exhibited by Major Depressive Disorder (MDD) Patients and building a Long Short Term Memory Network + Convolutional Neural Network Model, Logistic Regression model, and a Multinomial Naive Bayes Classifier Algorithm to develop Spero, a hybrid app based Early-MDD diagnosis system. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2020:114 View
- Forte A, Sarli G, Polidori L, Lester D, Pompili M. The Role of New Technologies to Prevent Suicide in Adolescence: A Systematic Review of the Literature. Medicina 2021;57(2):109 View
- Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
- Ji S, Pan S, Li X, Cambria E, Long G, Huang Z. Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Transactions on Computational Social Systems 2021;8(1):214 View
- Mason A, Jang K, Morley K, Scarf D, Collings S, Riordan B. A Content Analysis of Reddit Users' Perspectives on Reasons for not Following Through with a Suicide Attempt. Cyberpsychology, Behavior, and Social Networking 2021 View
- López-Úbeda P, Plaza-del-Arco F, Díaz-Galiano M, Martín-Valdivia M. How Successful Is Transfer Learning for Detecting Anorexia on Social Media?. Applied Sciences 2021;11(4):1838 View
- Cheng Q, Lui C. Applying text mining methods to suicide research. Suicide and Life-Threatening Behavior 2021;51(1):137 View
- S S, S. Raj J. Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study. Journal of Trends in Computer Science and Smart Technology 2021;3(1):24 View
- Lekkas D, Klein R, Jacobson N. Predicting acute suicidal ideation on Instagram using ensemble machine learning models. Internet Interventions 2021;25:100424 View
- Arillotta D, Guirguis A, Corkery J, Scherbaum N, Schifano F. COVID-19 Pandemic Impact on Substance Misuse: A Social Media Listening, Mixed Method Analysis. Brain Sciences 2021;11(7):907 View
- Silveira B, Silva H, Murai F, da Silva A. Predicting user emotional tone in mental disorder online communities. Future Generation Computer Systems 2021;125:641 View