M. Khramova

Evaluating Large Language Model Localization for Clinical Psychology: Predicting Anxiety and Depression Scores in a Russian Student Sample

Aim. To evaluate the suitability of large language models (LLMs), deployed in a closed-loop environment, for predicting anxiety and depression scores on the Hospital Anxiety and Depression Scale (HADS) in a sample of Russian students. Materials and methods. The empirical dataset consisted of de-identified responses fr...