论文标题
使用开放式压力源反应来预测跨人口统计的抑郁症状
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
论文作者
论文摘要
压力源与抑郁症有关，但这种关系很复杂。我们研究了关于压力源和种族/种族群体的抑郁症状的开放式文本反应之间的关系。首先，我们使用主题模型和其他NLP工具在报告人群组的压力源时发现主题和词汇差异。我们使用自我报告的压力源来训练语言模型，以预测抑郁症状，发现压力源与抑郁症之间的关系。最后，我们发现压力源的差异转化为人口统计组之间的下游性能差异。
Stressors are related to depression, but this relationship is complex. We investigate the relationship between open-ended text responses about stressors and depressive symptoms across gender and racial/ethnic groups. First, we use topic models and other NLP tools to find thematic and vocabulary differences when reporting stressors across demographic groups. We train language models using self-reported stressors to predict depressive symptoms, finding a relationship between stressors and depression. Finally, we find that differences in stressors translate to downstream performance differences across demographic groups.
