TY  - JOUR
PY  - 2023//
TI  - Artificial intelligence-based approaches for suicide prediction: Hope or hype?
JO  - Asian journal of psychiatry
A1  - Menon, Vikas
A1  - Vijayakumar, Lakshmi
SP  - e103728
EP  - e103728
VL  - 88
IS  - 
N2  - Accurate prediction of suicide risk is important because it allows evidence-based interventions to be targeted to at-risk populations. Conventional approaches to prediction of suicide risk have shown suboptimal accuracy. In this context, artificial intelligence (AI)-based models for suicide prediction, with their ability to handle big data collected through low-burden methods, have gained research traction in the recent past. Preliminary evidence suggests the promise of AI-driven methods for suicide prediction and prevention. These methods may hold particular relevance for India and other low-and-middle-income countries because they may be more feasible, scalable, less stigmatizing, and potentially more resource-effective.<p />  <p>Language: en</p>
LA  - en
SN  - 1876-2018
UR  - http://dx.doi.org/10.1016/j.ajp.2023.103728
ID  - ref1
ER  -