TY  - JOUR
PY  - 2019//
TI  - Mining social networks to improve suicide prevention: a scoping review
JO  - Journal of Neuroscience Research
A1  - Lopez-Castroman, Jorge
A1  - Moulahi, Bilel
A1  - Azé, Jérôme
A1  - Bringay, Sandra
A1  - Deninotti, Julie
A1  - Guillaume, Sébastien
A1  - Baca-Garcia, Enrique
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Attention about the risks of online social networks (SNs) has been called upon reports describing their use to express emotional distress and suicidal ideation or plans. On the Internet, cyberbullying, suicide pacts, Internet addiction, and "extreme" communities seem to increase suicidal behavior (SB). In this study, the scientific literature about SBs and SNs was narratively reviewed. Some authors focus on detecting at-risk populations through data mining, identification of risks factors, and web activity patterns. Others describe prevention practices on the Internet, such as websites, screening, and applications. Targeted interventions through SNs are also contemplated when suicidal ideation is present. Multiple predictive models should be defined, implemented, tested, and combined in order to deal with the risk of SB through an effective decision support system. This endeavor might require a reorganization of care for SNs users presenting suicidal ideation.<br><br>© 2019 Wiley Periodicals, Inc.<p />  <p>Language: en</p>
LA  - en
SN  - 0360-4012
UR  - http://dx.doi.org/10.1002/jnr.24404
ID  - ref1
ER  -