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相关概念视频

Elements Crucial for Effective Psychotherapy01:25

Elements Crucial for Effective Psychotherapy

34
Research has highlighted several critical factors that influence the effectiveness of psychotherapy, such as the therapeutic alliance, the therapist, and the client.
The Therapeutic Alliance
The therapeutic alliance refers to the relationship between the therapist and the client. The alliance strengthens when the therapist and the client engage in a nurturing, supportive, trusting, empathetic, and respectful relationship, improving therapeutic outcomes. Therapists must monitor this relationship...
34
Modeling in Therapy01:26

Modeling in Therapy

44
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
44
Psychotherapy01:28

Psychotherapy

74
Psychotherapy is a versatile, nonmedical approach aimed at helping individuals address emotional, behavioral, and interpersonal issues to enhance their overall well-being. It can involve one-on-one sessions, couples counseling, or small group discussions with a therapist. The therapeutic process includes various techniques such as open discussion, interpretation of thoughts and behaviors, active listening, positive reinforcement, and role modeling. Psychotherapy aims to support individuals in...
74
Psychodynamic Therapy01:29

Psychodynamic Therapy

54
Psychodynamic therapies emphasize the exploration of unconscious processes and early childhood experiences as fundamental contributors to psychological difficulties. These therapies, deeply rooted in Freud's psychoanalytic theory, aim to uncover and resolve unconscious conflicts, granting individuals insights that promote emotional and behavioral healing. Contemporary psychodynamic approaches have evolved, integrating a broader range of influences and methodologies while still valuing the...
54
Associative Learning01:27

Associative Learning

287
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
287
Interpersonal Psychotherapy01:25

Interpersonal Psychotherapy

21
Interpersonal psychotherapy (IPT) is a structured, time-limited therapeutic approach initially developed to treat depression. It integrates key concepts from psychodynamic, humanistic, and cognitive-behavioral therapies, making it a uniquely eclectic framework. The therapy is rooted in the interpersonal theories of Adolph Meyer and Harry Stack Sullivan, as well as John Bowlby's attachment theory, and focuses on the interplay between interpersonal relationships and emotional well-being.
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相关实验视频

Updated: Jun 4, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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预测心理治疗中的工作联盟:一种多模式机器学习方法

Katie Aafjes-van Doorn1,2, Marcelo Cicconet1, Jeffrey F Cohn1,3

  • 1Deliberate AI, New York, NY, United States.

Psychotherapy research : journal of the Society for Psychotherapy Research
|January 2, 2025
PubMed
概括

现在可以使用来自视频录制的多式联络行为数据在治疗会上自动预测工作联盟. 这种方法准确地识别了联盟问题,有可能改善治疗结果并减少患者退学.

关键词:
机器学习是机器学习.多式联运是多式联运.预测 预测 预测 预测心理治疗是一种心理治疗.工作联盟工作联盟

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科学领域:

  • 心理学 心理学 心理学
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 治疗联盟对于治疗成功至关重要,但其一致的监测是具有挑战性的.
  • 工作联盟的传统自我报告措施缺乏广泛的临床实施.
  • 联盟评估的自动化方法可以促进及时干预.

研究的目的:

  • 开发一种自动化系统,用于预测治疗会话中的工作联盟.
  • 利用视频录制的会议的行为特征来预测联盟.
  • 调查多式联机机器学习模型对此任务的有效性.

主要方法:

  • 分析了252个治疗会话 (面对面和远程治疗) 的数据集,与患者评级的工作联盟进行了分析.
  • 从会议录音中提取了文字,音频和视频功能.
  • 机器学习回归模型,包括梯度提升,使用融合多式联运特征进行训练.

主要成果:

  • 渐变增强模型使用患者的音频,文本和视频特征实现了最高的准确性 (ICC=0.66,Pearson r=0.70,MAE=0.33).
  • 多模式功能融合显著提高了预测性能.
  • 在这项研究中,自动化联盟预测显示了高准确度.

结论:

  • 从视频录制的治疗课程中进行自动化联盟预测是一种可行和准确的方法.
  • 数据驱动的多式联运特征提取和选择产生了强大的预测模型.
  • 这项技术有可能通过早期检测联盟问题来改善临床实践.