Published on 21.06.18 in Vol 20, No 6 (2018): June
Works citing "Detecting Suicidal Ideation on Forums: Proof-of-Concept Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9840):
(note that this is only a small subset of citations)
- Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023CrossRef
- 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)CrossRef
- Shen Y, Zhang W, Chan BSM, Zhang Y, Meng F, Kennon EA, Wu HE, Luo X, Zhang X. Detecting risk of suicide attempts among Chinese medical college students using a machine learning algorithm. Journal of Affective Disorders 2020;273:18CrossRef
- Strand M, Gustafsson SA. Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts. Culture, Medicine, and Psychiatry 2020;CrossRef
- Soron TR, Shariful Islam SM. Suicide on Facebook-the tales of unnoticed departure in Bangladesh. Global Mental Health 2020;7CrossRef
- Oexle N, Niederkrotenthaler T, DeLeo D. Emerging trends in suicide prevention research. Current Opinion in Psychiatry 2019;32(4):336CrossRef
- Tadesse MM, Lin H, Xu B, Yang L. Detection of Suicide Ideation in Social Media Forums Using Deep Learning. Algorithms 2019;13(1):7CrossRef
- Cacheda F, Fernandez D, Novoa FJ, Carneiro V. Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research 2019;21(6):e12554CrossRef
- Davis , Sedig , Lizotte . Archetype-Based Modeling and Search of Social Media. Big Data and Cognitive Computing 2019;3(3):44CrossRef
- Fonseka TM, Bhat V, Kennedy SH. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;53(10):954CrossRef