F. Lamers

Multilingual lexical feature analysis of spoken language for predicting major depression symptom severity.

BACKGROUND Remotely captured spoken language could provide objective, regular indicators of depression symptom severity. However, research to date has largely used non-clinical, cross-sectional written language and complex machine learning (ML) approaches with limited interpretability. METHODS We used linear mixed-ef...