TY  - JOUR
PY  - 2022//
TI  - Suicide possibility scale detection via Sina Weibo analytics: preliminary results
JO  - International journal of environmental research and public health
A1  - Gu, Yun
A1  - Chen, Deyuan
A1  - Liu, Xiaoqian
SP  - e466
EP  - e466
VL  - 20
IS  - 1
N2  - Suicide, as an increasingly prominent social problem, has attracted widespread social attention in the mental health field. Traditional suicide clinical assessment and risk questionnaires lack timeliness and proactivity, and high-risk groups often conceal their intentions, which is not conducive to early suicide prevention. In this study, we used machine-learning algorithms to extract text features from Sina Weibo data and built a suicide risk-prediction model to predict four dimensions of the Suicide Possibility Scale-hopelessness, suicidal ideation, negative self-evaluation, and hostility-all with model validity of 0.34 or higher. Through this method, we can detect the symptoms of suicidal ideation in a more detailed way and improve the proactiveness and accuracy of suicide risk prevention and control.<p />  <p>Language: en</p>
LA  - en
SN  - 1661-7827
UR  - http://dx.doi.org/10.3390/ijerph20010466
ID  - ref1
ER  -