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首页> 外文会议>2014 International Conference on Data Science and Advanced Analytics >Analysis of circadian rhythms from online communities of individuals with affective disorders
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Analysis of circadian rhythms from online communities of individuals with affective disorders

机译：情感障碍者在线社区的昼夜节律分析

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The circadian system regulates 24 hour rhythms in biological creatures. It impacts mood regulation. The disruptions of circadian rhythms cause destabilization in individuals with affective disorders, such as depression and bipolar disorders. Previous work has examined the role of the circadian system on effects of light interactions on mood-related systems, the effects of light manipulation on brain, the impact of chronic stress on rhythms. However, such studies have been conducted in small, preselected populations. The deluge of data is now changing the landscape of research practice. The unprecedented growth of social media data allows one to study individual behavior across large and diverse populations. In particular, individuals with affective disorders from online communities have not been examined rigorously. In this paper, we aim to use social media as a sensor to identify circadian patterns for individuals with affective disorders in online communities.We use a large scale study cohort of data collecting from online affective disorder communities. We analyze changes in hourly, daily, weekly and seasonal affect of these clinical groups in contrast with control groups of general communities. By comparing the behaviors between the clinical groups and the control groups, our findings show that individuals with affective disorders show a significant distinction in their circadian rhythms across the online activity. The results shed light on the potential of using social media for identifying diurnal individual variation in affective state, providing key indicators and risk factors for noninvasive wellbeing monitoring and prediction.
机译：昼夜节律系统调节生物生物的24小时节律。它影响情绪调节。昼夜节律的破坏导致患有情感障碍（例如抑郁症和躁郁症）的个体不稳定。先前的工作研究了昼夜节律系统在光交互作用对情绪相关系统的影响，光操纵对大脑的影响，慢性应激对节律的影响方面的作用。但是，这些研究是在较小的预选人群中进行的。大量的数据现在正在改变研究实践的面貌。社交媒体数据的空前增长使人们可以研究庞大而多样的人群的个人行为。特别是，未对来自网络社区的情感障碍患者进行严格检查。在本文中，我们旨在利用社交媒体作为传感器来识别在线社区情感障碍患者的昼夜节律模式。我们使用从在线情感障碍社区收集数据的大规模研究队列。我们分析了与普通社区的对照组相比，这些临床组在每小时，每天，每周和季节性影响方面的变化。通过比较临床组和对照组之间的行为，我们的发现表明，在整个在线活动中，情感障碍患者的昼夜节律表现出显着差异。结果揭示了使用社交媒体识别情感状态中昼夜个体差异的潜力，为无创性健康监测和预测提供关键指标和风险因素。

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