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Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy.

Ying ZhouXiao-Yu ChenDing LiuYu-Lin PanYan-Fei HouTing-Ting GaoFei PengXiao-Cong WangXiao-Yuan Zhang
Published in: Psychotherapy research : journal of the Society for Psychotherapy Research (2022)
This study showed that the inclusion of therapist-level indicators can improve the performance of a predictive model in predicting working alliances. This model could assist clinical decisions on choosing psychotherapists for patients and may also initiate new possibilities for future research.
Keyphrases
  • deep learning
  • end stage renal disease
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • high intensity
  • transcranial direct current stimulation
  • posttraumatic stress disorder
  • patient reported