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May 26, 2020npj Digital MedicineOpen Access

A machine learning approach predicts future risk to suicidal ideation from social media data

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Authors

ARArunima RoyNational Neurosciences CentreKNKaterina NikolitchUniversity of OttawaRMRachel McGinnUniversity of Ottawa

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Cite This Study

Roy et al. (2020) studied this question.

synapsesocial.com/papers/6a09029f73218fa1919d1890https://doi.org/10.1038/s41746-020-0287-6
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Similarities and Differences Among Adolescents Who Communicate Suicidality to Others via Electronic Versus other Means: A Pilot Study2012 · 31 citations
  2. 2Suicide Announcement on Facebook2011 · 145 citations
  3. 3A Global Measure of Perceived Stress1983 · 33,299 citations
  4. 4The last appointment before suicide: is suicide intent communicated?1995 · 255 citations