Abstract Background and Hypothesis Automated language analysis is becoming an
increasingly popular tool in clinical research involving individuals with mental health …

The language and speech of individuals with psychosis reflect their impairments in cognition
and motor processes. These language disturbances can be used to identify individuals with …

Modern advances in computational language processing methods have enabled new
approaches to the measurement of mental processes. However, the field has primarily …

Previous works highlighted the relevance of automated language analysis for predicting
diagnosis in schizophrenia, but a deeper language-based data-driven investigation of the …

Automated extraction of quantitative linguistic features has the potential to predict objectively
the onset and progression of psychosis. These linguistic variables are often considered to …

Language and speech are the primary source of data for psychiatrists to diagnose and treat
mental disorders. In psychosis, the very structure of language can be disturbed, including …

Automated language analysis of speech has been shown to distinguish healthy control (HC)
vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis …

Abstract Language deficits are prevalent in psychotic illness, including its risk states, and are
related to marked impairment in functioning. It is therefore important to characterize …

Several studies have shown that speech and language features, automatically extracted
from clinical interviews or spontaneous discourse, have diagnostic value for mental …

Objective Measurement‐based care tools in psychiatry are useful for symptom monitoring
and detecting response to treatment, but methods for quick and objective measurement are …