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相关概念视频

Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
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Depression: Overview01:18

Depression: Overview

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Depressive Disorders: MDD and Dysthymia01:27

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Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
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The Placebo Effect01:54

The Placebo Effect

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The placebo effect occurs when people's expectations or beliefs influence or determine their experience in a given situation. In other words, simply expecting something to happen can actually make it happen.
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Self-Discrepancy Theory02:45

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Social Anxiety Disorder01:28

Social Anxiety Disorder

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Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.
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在社交媒体上检测抑郁症症状的可解释性.

Eliseo Bao1, Anxo Pérez1, Javier Parapar1

  • 1Information Retrieval Lab (IRLab), Centro de Investigación en Tecnoloxías da Información e da Comunicación (CITIC), Campus de Elviña, 15071 A Coruña, Galicia Spain.

Health information science and systems
|September 9, 2024
PubMed
概括

本研究介绍了基于变压器的模型,用于检测和解释社交媒体内容中的抑郁症状. 这些模型提供了与临床症状一致的自然语言解释,提高了心理健康专业人员的信任和可解释性.

科学领域:

  • 计算语言学计算语言学
  • 心理健康信息学心理健康信息学
  • 医疗保健中的人工智能

背景情况:

  • 社交媒体平台越来越多地用于讨论心理健康.
  • 现有的心理健康检测模型往往缺乏可解释性,阻碍了临床的信任.
  • 临床标志物和症状一样,对于提高计算模型的解释性至关重要.

研究的目的:

  • 开发基于变压器的架构,用于检测和解释社交媒体内容中的抑郁症状标志物.
  • 将单独的分类和解释模型与统一的模型进行比较.
  • 调查对话式大型语言模型 (LLM) 对此任务的实用性.

主要方法:

  • 开发基于变压器的模型,用于联合或单独的分类和解释.
  • 利用上下文学习和微调与对话的LLMs.
  • 使用以症状为重点的数据集,离线指标和专家在循环中的评估进行评估.

主要成果:

  • 模型成功地检测到社交媒体内容中的抑郁症状标志物.
  • 生成的自然语言解释与验证的临床症状保持一致.
  • 统一模型和LLM方法在平衡分类准确性和可解释性方面表现有前途.
关键词:
抑郁症检测检测 抑郁症检测可以解释的可解释性.可以解释性 解释性社交媒体 社交媒体

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结论:

  • 基于变压器的模型可以在社交媒体上有效地检测和解释抑郁症状.
  • 可解释的,基于症状的解释增强了临床医生计算心理健康工具的实用性.
  • 这项研究有助于建立更值得信赖和临床相关的心理健康AI.