@article{ref1,
title="Artificial intelligence-based approaches for suicide prediction: Hope or hype?",
journal="Asian journal of psychiatry",
year="2023",
author="Menon, Vikas and Vijayakumar, Lakshmi",
volume="88",
number="",
pages="e103728-e103728",
abstract="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>",
language="en",
issn="1876-2018",
doi="10.1016/j.ajp.2023.103728",
url="http://dx.doi.org/10.1016/j.ajp.2023.103728"
}