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Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS).基于时间序列增强表示的用于检测不连贯言语的 TARDIS 实现精神分裂症思维形式障碍的全自动检测。
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本文引用的文献

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A machine learning approach to predicting psychosis using semantic density and latent content analysis.一种使用语义密度和潜在内容分析来预测精神病的机器学习方法。
NPJ Schizophr. 2019 Jun 13;5(1):9. doi: 10.1038/s41537-019-0077-9.
2
Prediction of psychosis across protocols and risk cohorts using automated language analysis.使用自动语言分析跨方案和风险队列预测精神病。
World Psychiatry. 2018 Feb;17(1):67-75. doi: 10.1002/wps.20491.
3
Improving outcomes of first-episode psychosis: an overview.改善首发精神病的治疗效果:综述
World Psychiatry. 2017 Oct;16(3):251-265. doi: 10.1002/wps.20446.
4
Auditory verbal hallucinations and continuum models of psychosis: A systematic review of the healthy voice-hearer literature.幻听与精神病连续体模型:对健康幻听者文献的系统综述
Clin Psychol Rev. 2017 Feb;51:125-141. doi: 10.1016/j.cpr.2016.10.010. Epub 2016 Nov 1.
5
Automated analysis of free speech predicts psychosis onset in high-risk youths.自动化的自由言论分析可预测高危青年的精神病发病。
NPJ Schizophr. 2015 Aug 26;1:15030. doi: 10.1038/npjschz.2015.30. eCollection 2015.
6
Global coherence during discourse production in adults: a review of the literature.成人话语生成过程中的全局连贯性:文献综述
Int J Lang Commun Disord. 2016 Jul;51(4):359-67. doi: 10.1111/1460-6984.12213. Epub 2016 Feb 22.
7
A rating scale for the assessment of objective and subjective formal Thought and Language Disorder (TALD).一种用于评估客观和主观形式性思维及语言障碍(TALD)的评定量表。
Schizophr Res. 2014 Dec;160(1-3):216-21. doi: 10.1016/j.schres.2014.10.024. Epub 2014 Nov 17.
8
Auditory verbal hallucinations in persons with and without a need for care.有护理需求者和无护理需求者的幻听症状
Schizophr Bull. 2014 Jul;40 Suppl 4(Suppl 4):S255-64. doi: 10.1093/schbul/sbu005.
9
Formal Thought Disorder and language impairment in schizophrenia.精神分裂症中的形式思维障碍与语言障碍
Arq Neuropsiquiatr. 2013 Jan;71(1):55-60. doi: 10.1590/s0004-282x2012005000015. Epub 2012 Dec 18.
10
Speech graphs provide a quantitative measure of thought disorder in psychosis.言语图表为精神分裂症中的思维障碍提供了一种定量的测量方法。
PLoS One. 2012;7(4):e34928. doi: 10.1371/journal.pone.0034928. Epub 2012 Apr 9.

质心不居:作为形式思维障碍指标的连贯性序贯和全局估计的比较。

The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder.

机构信息

Biomedical Informatics and Medical Education.

Engineering (BRiTE) Center, Psychiatry and Behavioral Sciences; University of Washington, Seattle, WA.

出版信息

AMIA Annu Symp Proc. 2021 Jan 25;2020:1315-1324. eCollection 2020.

PMID:33936508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8075468/
Abstract

Thought disorder (TD) as reflected in incoherent speech is a cardinal symptom of schizophrenia and related disorders. Quantification of the degree ofTD can inform diagnosis, monitoring, and timely intervention. Consequently, there has been an interest in applying methods ofdistributional semantics to quantify incoherence ofspoken language. Prior studies have generally involved few participants and utilized speech data collected in on-site structured interviews. In this paper we conduct a comprehensive evaluation ofapproaches to quantify incoherence using distributional semantics, including a novel variant that measures the global coherence oftext. This evaluation is conducted in the context of "audio diaries" collected from participants experiencing auditory verbal hallucinations using a smartphone application. Results reveal our novel global coherence metric using the centroid (weighted vector average) outperforms established approaches in their agreement with human annotators, supporting their preferential use in the context of short recordings ofunstructured and largely spontaneous speech.

摘要

思维障碍(TD)表现为言语不连贯,是精神分裂症及相关障碍的主要症状。TD 程度的量化可以为诊断、监测和及时干预提供信息。因此,人们一直有兴趣应用分布语义学方法来量化口语的不连贯性。先前的研究通常涉及较少的参与者,并利用现场结构化访谈中收集的语音数据。在本文中,我们全面评估了使用分布语义学量化不连贯性的方法,包括一种新的变体,用于衡量文本的整体连贯性。该评估是在使用智能手机应用程序收集经历听觉言语幻觉的参与者的“音频日记”的背景下进行的。结果表明,我们使用质心(加权向量平均值)的新全局连贯性指标在与人类注释者的一致性方面优于已有的方法,支持它们在非结构化和大部分自发言语的短录音背景下的优先使用。