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関連する概念動画

Beck's Cognitive Therapy01:25

Beck's Cognitive Therapy

413
Cognitive therapy is a psychological approach designed to address distortions in thinking, which can lead to negative emotions and unrealistic beliefs. These cognitive distortions often influence how individuals interpret and respond to situations, exacerbating emotional distress. Below are some prevalent cognitive distortions, their characteristics, and examples of how they manifest in thought processes.
Arbitrary Inference
Arbitrary inference involves making conclusions without sufficient...
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Cognitive Therapy01:25

Cognitive Therapy

1.3K
Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...
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The Influence of Cognition on Affect01:29

The Influence of Cognition on Affect

237
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
237
Protecting Self-Esteem01:27

Protecting Self-Esteem

239
Self-esteem, a central component of psychological well-being, is actively maintained through various cognitive and behavioral strategies. Individuals employ specific mechanisms to preserve a positive self-concept and mitigate threats to their self-worth, particularly in contexts involving social evaluation or personal feedback. Four primary techniques are commonly used to sustain self-esteem.Manipulating AppraisalsOne prominent strategy involves manipulating appraisals from others. Individuals...
239
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

725
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...
725
Depression: Overview01:18

Depression: Overview

947
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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認知的歪みとユーザーレベルの情報によるうつ病検出の強化

Yujie Wan, Zaiquan Dong, Baoxing Jiang

    IEEE journal of biomedical and health informatics
    |February 16, 2026
    PubMed
    まとめ

    この研究は,認知的歪みとソーシャルメディアからのユーザーレベルのデータを統合した新しいうつ病検出モデルを導入しています. このモデルは,テキストを分析して認知的歪みやユーザー行動パターンを分析することによって,最先端の結果を達成します.

    科学分野:

    • コンピューティング社会科学
    • メンタルヘルス・インフォマティクス メンタルヘルス・インフォマティクス
    • 人工知能 (AI) とは,人工知能 (AI) のことです.

    背景:

    • うつ病は一般的な精神疾患であり,日常の機能に重大な影響を及ぼします.
    • ソーシャルメディアのデータ分析は,うつ病の検出のためにますます使用されています.
    • 既存の方法は,しばしば認知的歪みや包括的なユーザーレベルの情報を無視します.

    研究 の 目的:

    • 認知的歪みとユーザーレベルのデータを組み込んだ高度なうつ病検出モデルを開発する.
    • 現在のソーシャルメディアベースのうつ病検知アプローチの限界に対処するために.
    • デジタルフットプリントを通じてうつ病の特定の正確性と包括性を向上させる.

    主な方法:

    • 認知的歪みとユーザーレベルの情報を融合させた新しいモデルが開発されました.
    • コグニティブ・ディストーション・エンコーダーとポスト・レベル・ディストーション・アウェアメカニズムが採用されました.
    • マルチフィーチャー・アダプティブ・ウェッティングにより,重要な情報が特定され,データノイズが軽減されました.

    主要な成果:

    • 提案されたモデルは,公開データセットで最先端のパフォーマンスを達成した.

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  • 実験により,認知的歪みを統合する効果が実証されました.
  • この研究は,うつ病の検出における様々なユーザーレベルの情報の重要性を強調した.

    • 結論:

    • 認知的歪みとユーザーレベルの情報を融合させることで,うつ病検出の正確性が著しく向上します.
    • 開発されたモデルは,ソーシャルメディアを通じてうつ病を特定するためのより総合的なアプローチを提供します.
    • 将来の研究は,特定の認知歪み学習戦略とユーザーレベルのデータへの影響を調査することができます.