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 ZhangPublished 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.