[HTML][HTML] Automated analysis of free speech predicts psychosis onset in high-risk youths
AIMS: In this proof-of-principle study, our aim was to test automated speech analyses
combined with Machine Learning to predict later psychosis onset in youths at clinical high …
combined with Machine Learning to predict later psychosis onset in youths at clinical high …
Prediction of psychosis across protocols and risk cohorts using automated language analysis
CM Corcoran, F Carrillo, D Fernández‐Slezak… - World …, 2018 - Wiley Online Library
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 …
mental disorders. In psychosis, the very structure of language can be disturbed, including …
[HTML][HTML] 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 …
Understanding language abnormalities and associated clinical markers in psychosis: the promise of computational methods
K Hitczenko, VA Mittal, M Goldrick - Schizophrenia Bulletin, 2021 - academic.oup.com
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 …
and motor processes. These language disturbances can be used to identify individuals with …
[HTML][HTML] More than a biomarker: could language be a biosocial marker of psychosis?
L Palaniyappan - npj Schizophrenia, 2021 - nature.com
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 …
the onset and progression of psychosis. These linguistic variables are often considered to …
[HTML][HTML] A machine learning approach to predicting psychosis using semantic density and latent content analysis
Subtle features in people's everyday language may harbor the signs of future mental illness.
Machine learning offers an approach for the rapid and accurate extraction of these signs …
Machine learning offers an approach for the rapid and accurate extraction of these signs …
[HTML][HTML] Clinical state tracking in serious mental illness through computational analysis of speech
Individuals with serious mental illness experience changes in their clinical states over time
that are difficult to assess and that result in increased disease burden and care utilization. It …
that are difficult to assess and that result in increased disease burden and care utilization. It …
Acoustic speech markers for schizophrenia-spectrum disorders: a diagnostic and symptom-recognition tool
Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
Lower speech connectedness linked to incidence of psychosis in people at clinical high risk
TJ Spencer, B Thompson, D Oliver, K Diederen… - Schizophrenia …, 2021 - Elsevier
Background Formal thought disorder is a cardinal feature of psychotic disorders, and is also
evident in subtle forms before psychosis onset in individuals at clinical high-risk for …
evident in subtle forms before psychosis onset in individuals at clinical high-risk for …
[HTML][HTML] Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders
Computerized natural language processing (NLP) allows for objective and sensitive
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …