Abstract Background Machine learning and natural language processing have demonstrated significant potential for mental health assessment: describing your mental health in your own words can offer a more ecologically valid approach than traditional rating scales. However, most models focus on specific diagnoses, condit...
Clara Wiebel, Veerle C. Eijsbroek, Vasudha Varadarajan et al.· JMIR Mental Health· 0 citations
A large-scale audit of sociodemographic error disparities in both lexical- and transformer-based models of county-level health outcomes, over a dataset cover billions of community-mapped messages highlights a critical accuracy–fairness trade-off in community-level models for public health tasks.
A. Marker, Salvatore Giorgi, Adithya V Ganesan et al.· Proceedings of the Thirty-Fi...· 0 citations
The Evidence-Based Psychotherapy with AI (EBP-AI) framework is introduced, which articulates a set of principles for developing effective clinical AI applications and introduces a set of key technical questions for the development and evaluation of clinical LLMs and AIs aligned with these principles.
Elizabeth C. Stade, Philip Held, H. A. Schwartz et al.· Journal of Psychopathology a...· 2 citations
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