Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals
Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals
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发表时间：
2017-11
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通讯作者：
N. Yusof;Chenghua Lin;Frank Guerin
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作者：
N. Yusof;Chenghua Lin;Frank Guerin
我们开发了一个计算模型，通过分析用户生成的文本中的主题来发现抑郁的潜在原因。我们展示了最突出的原因，以及这些原因如何随着时间的推移而演变。此外，我们还强调了低神经质和高神经质学生在原因上的差异。我们的研究表明，这些话题揭示了导致抑郁情绪的原因的有价值的线索。找出病因可以对改善抑郁症护理的质量产生重大影响，从而更深入地了解患者的状态，从而提出相关的治疗建议。因此，这项研究大大扩展了发现引发抑郁症的潜在因素的能力，使其有可能提高抑郁症的治疗效率。
We develop a computational model to discover the potential causes of depression by analysing the topics in a usergenerated text. We show the most prominent causes, and how these causes evolve over time. Also, we highlight the differences in causes between students with low and high neuroticism. Our studies demonstrate that the topics reveal valuable clues about the causes contributing to depressed mood. Identifying causes can have a significant impact on improving the quality of depression care; thereby providing greater insights into a patient’s state for pertinent treatment recommendations. Hence, this study significantly expands the ability to discover the potential factors that trigger depression, making it possible to increase the efficiency of depression treatment.