Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
[HTML][HTML] Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence
Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …
Natural Language Processing markers in first episode psychosis and people at clinical high-risk
Recent work has suggested that disorganised speech might be a powerful predictor of later
psychotic illness in clinical high risk subjects. To that end, several automated measures to …
psychotic illness in clinical high risk subjects. To that end, several automated measures to …
Speech markers to predict and prevent recurrent episodes of psychosis: A narrative overview and emerging opportunities
Preventing relapse in schizophrenia improves long-term health outcomes. Repeated
episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to …
episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to …
Progressive changes in descriptive discourse in First Episode Schizophrenia: a longitudinal computational semantics study
MF Alonso-Sánchez, SD Ford, M MacKinley, A Silva… - Schizophrenia, 2022 - nature.com
Computational semantics, a branch of computational linguistics, involves automated
meaning analysis that relies on how words occur together in natural language. This offers a …
meaning analysis that relies on how words occur together in natural language. This offers a …
Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis
Background Impairments in speech production are a core symptom of non-affective
psychosis (NAP). While traditional clinical ratings of patients' speech involve a subjective …
psychosis (NAP). While traditional clinical ratings of patients' speech involve a subjective …
Widespread cortical thinning, excessive glutamate and impaired linguistic functioning in schizophrenia: A cluster analytic approach
Introduction Symptoms of schizophrenia are closely related to aberrant language
comprehension and production. Macroscopic brain changes seen in some patients with …
comprehension and production. Macroscopic brain changes seen in some patients with …
[HTML][HTML] Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency
Abstract Natural Language Processing (NLP) methods have shown promise for the
assessment of formal thought disorder, a hallmark feature of schizophrenia in which …
assessment of formal thought disorder, a hallmark feature of schizophrenia in which …
[HTML][HTML] Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)
Formal thought disorder (ThD) is a clinical sign of schizophrenia amongst other serious
mental health conditions. ThD can be recognized by observing incoherent speech-speech in …
mental health conditions. ThD can be recognized by observing incoherent speech-speech in …
[HTML][HTML] Assessing coherence through linguistic connectives: Analysis of speech in patients with schizophrenia-spectrum disorders
Background Incoherent speech is a core diagnostic symptom of schizophrenia-spectrum
disorders (SSD) that can be studied using semantic space models. Since linguistic …
disorders (SSD) that can be studied using semantic space models. Since linguistic …