Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry 605006, India.
SNEHA, Chennai, India; Dept of Psychiatry,Voluntary Health Services, Chennai, India; University of Melbourne, Australia; University of Griffith, Australia.
Asian J Psychiatr. 2023 Oct;88:103728. doi: 10.1016/j.ajp.2023.103728. Epub 2023 Aug 9.
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.
准确预测自杀风险很重要，因为这可以使基于证据的干预措施针对高危人群。传统的自杀风险预测方法的准确性并不理想。在这种情况下，基于人工智能 (AI) 的自杀预测模型因其能够处理通过低负担方法收集的大数据而在最近引起了研究关注。初步证据表明，人工智能驱动的自杀预测和预防方法具有广阔的前景。这些方法可能与印度和其他中低收入国家特别相关，因为它们可能更可行、可扩展、污名化程度更低，并且可能更具资源效益。
