基于机器学习和深度学习技术的自杀意念检测研究进展

Tanya Bhardwaj, Paridhi Gupta, Akshita Goyal, Akanksha Nagpal, Vivekanand Jha
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引用次数: 0

摘要

近年来,死于自杀的人数有所增加。自杀正在成为全世界死亡的主要原因之一。这导致了一个令人震惊的局面,因为它正在危及人类的生命。很多研究都在寻找自杀背后的原因和预防方法。文献表明,在早期阶段发现自杀念头有助于挽救人们的生命。早期检测的理念促使许多研究人员朝这个方向开展研究。许多这样的研究都使用机器学习和深度学习模型来预测自杀的想法。因此,本文回顾了使用机器学习和深度学习技术检测自杀念头的现有研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Suicidal Ideation Detection Based on Machine Learning and Deep Learning Techniques
In recent years, the number of deaths due to suicide has increased. Suicide is becoming one of the major causes of death across the whole world. This has led to an alarming situation as it is endangering the human life. A lot of studies have been done to find the reason behind such suicides and its prevention. The literature has suggested that the detection of suicide thoughts at an early stage can help to rescue the life of people. The idea of early detection has led various researchers to carry out research in this direction. Many such studies have used machine learning and deep learning models to predict the idea of suicide. So, this paper reviews the existing study that has been performed towards detection of suicidal thoughts using machine learning and deep learning techniques.
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