论文标题
在非临床访谈中学习通过语言和语言来检测双相情感障碍和边缘性人格障碍
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
论文作者
论文摘要
双相情感障碍（BD）和边缘性人格障碍（BPD）都是慢性精神疾病。但是，它们的重叠症状和常见的合并症使临床医生在临床访谈的基础上区分这两种情况变得具有挑战性。在这项工作中，我们首先提出了一个新的多模式数据集，其中包含涉及BD或BPD的个人的访谈，并接受了有关非临床主题的采访。我们研究了两种情况的自动检测，并演示了一个良好的线性分类器，可以使用访谈不同方面的一组特征以及总结这些功能的新方法来学习。最后，我们发现表征了BD和BPD的不同特征集，从而提供了有关两种条件自动筛选之间差异的见解。
Bipolar disorder (BD) and borderline personality disorder (BPD) are both chronic psychiatric disorders. However, their overlapping symptoms and common comorbidity make it challenging for the clinicians to distinguish the two conditions on the basis of a clinical interview. In this work, we first present a new multi-modal dataset containing interviews involving individuals with BD or BPD being interviewed about a non-clinical topic . We investigate the automatic detection of the two conditions, and demonstrate a good linear classifier that can be learnt using a down-selected set of features from the different aspects of the interviews and a novel approach of summarising these features. Finally, we find that different sets of features characterise BD and BPD, thus providing insights into the difference between the automatic screening of the two conditions.
