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H. A. Schwartz

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Open access Sep 2026

Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms

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. · 0 citations
Conference Open access Sep 2026

Quantifying Error Disparities in Population Health Models

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. · 0 citations
Open access Aug 2026

A Framework for Evidence-Based Psychotherapy with AI (EBP-AI)

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. · 2 citations

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