Psychotherapy research : journal of the Society for Psychotherapy Research
Jan 1, 2025
OBJECTIVE: Session-by-session tracking of the working alliance enables clinicians to detect alliance deterioration and intervene accordingly, which has shown to improve treatment outcome, and reduce dropout. Despite this, regular use of alliance self...
Psychotherapy research : journal of the Society for Psychotherapy Research
Feb 28, 2024
OBJECTIVE: Given the importance of emotions in psychotherapy, valid measures are essential for research and practice. As emotions are expressed at different levels, multimodal measurements are needed for a nuanced assessment. Natural Language Process...
Psychotherapy research : journal of the Society for Psychotherapy Research
Jan 20, 2023
The occurrence of dropout from psychological interventions is associated with poor treatment outcome and high health, societal and economic costs. Recently, machine learning (ML) algorithms have been tested in psychotherapy outcome research. Dropout...
Psychotherapy research : journal of the Society for Psychotherapy Research
Dec 16, 2022
OBJECTIVE: Defensive functioning (i.e., unconscious process used to manage real or perceived threats) may play a role in the development of various psychopathologies. It is typically assessed via observer rating measures, however, human coding of def...
Psychotherapy research : journal of the Society for Psychotherapy Research
May 30, 2022
OBJECTIVE: The aim of this proof-of-concept study is to develop a predictive model based on deep learning algorithms to predict working alliances after the first therapeutic session and to provide a basis for clinical decisions.
Psychotherapy research : journal of the Society for Psychotherapy Research
May 25, 2021
OBJECTIVE: We aimed to develop and test an algorithm for individual patient predictions of problem coping experiences (PCE) (i.e., patients' understanding and ability to deal with their problems) effects in cognitive-behavioral therapy. In an outpat...
Psychotherapy research : journal of the Society for Psychotherapy Research
Aug 29, 2020
Machine learning (ML) offers robust statistical and probabilistic techniques that can help to make sense of large amounts of data. This scoping review paper aims to broadly explore the nature of research activity using ML in the context of psychologi...
Psychotherapy research : journal of the Society for Psychotherapy Research
Jul 3, 2020
Understanding patient responses to psychotherapy is important in developing effective interventions. However, coding patient language is a resource-intensive exercise and difficult to perform at scale. Our aim was to develop a deep learning model to...
Psychotherapy research : journal of the Society for Psychotherapy Research
Jun 30, 2020
Decision-tree methods are machine-learning methods which provide results that are relatively easy to interpret and apply by human decision makers. The resulting decision trees show how baseline patient characteristics can be combined to predict trea...
Psychotherapy research : journal of the Society for Psychotherapy Research
Mar 26, 2019
Personalized treatment methods have shown great promise in efficacy studies across many fields of medicine and mental health. Little is known, however, about their utility in process-outcome research. This study is the first to apply personalized tr...