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相关概念视频

Modeling in Therapy01:26

Modeling in Therapy

364
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...
364
Elements Crucial for Effective Psychotherapy01:25

Elements Crucial for Effective Psychotherapy

306
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...
306
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

437
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
437
Relationship Formation02:12

Relationship Formation

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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
45.2K
Psychotherapy01:28

Psychotherapy

452
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...
452
Interpersonal Psychotherapy01:25

Interpersonal Psychotherapy

282
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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Updated: Jan 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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匹配:客户和治疗师通过机器学习进行匹配.

Seth M Peacock1, Ian H Goodin1, Ryan K Wood1

  • 1Brigham Young University, Provo, UT, USA.

Psychotherapy research : journal of the Society for Psychotherapy Research
|December 15, 2025
PubMed
概括
此摘要是机器生成的。

一个新的框架使用档案数据和计算机科学来将客户与治疗师相匹配,改善咨询结果. 这种数据驱动的方法提高了客户的成功,同时尊重治疗师的可用性.

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相关实验视频

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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科学领域:

  • 临床心理学 临床心理学
  • 医疗信息学 医疗信息学
  • 计算机科学 计算机科学

背景情况:

  • 治疗师的分配显著影响咨询的成功.
  • 当前的方法通常依赖于简单的可用性,可能缺少最佳匹配.

研究的目的:

  • 利用档案数据和算法,开发和评估一个用于将客户与治疗师匹配的框架.
  • 与分配给下一个可用的治疗师相比,改善客户的结果.
  • 将治疗师可用性限制纳入匹配过程中.

主要方法:

  • 利用来自10100个治疗课程 (2014-2019) 的高维度调查数据 (CCAPS-62,OQ-45).
  • 使用预测模型估计的治疗师-客户结果关联.
  • 实施了尊重治疗师可用性的受约束匹配算法.
  • 通过模拟和统计测试来评估性能.

主要成果:

  • 该模型预测了与0.145-3.65OQ-45点 (d=0.11) 的平均改善相关的治疗师-客户对.
  • 这种改善在统计学上是显著的 (95%置信区间).
  • 该方法显示了改善结果的潜力,对等待时间和行政变更的影响最小.

结论:

  • 数据驱动的客户-治疗师匹配可以显著改善咨询结果.
  • 考虑治疗师可用性限制对于实际实施至关重要.
  • 这种方法提供了一个可扩展的解决方案,以提高心理健康服务的有效性.