Natural language processing markers for psychosis and other psychiatric disorders: emerging themes and research agenda from a cross-linguistic workshop

H Corona Hernández, C Corcoran… - Schizophrenia …, 2023 - academic.oup.com
This workshop summary on natural language processing (NLP) markers for psychosis and
other psychiatric disorders presents some of the clinical and research issues that NLP …

Forensic linguistics: A scientometric review

A Alduais, MA Al-Khulaidi, S Allegretta… - Cogent Arts & …, 2023 - Taylor & Francis
Forensic linguistics is a distinct field of study in the science of language that places
significant emphasis on the observation of language usage in our daily lives, including …

[HTML][HTML] Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

N Cummins, J Dineley, P Conde, F Matcham… - Journal of affective …, 2023 - Elsevier
Background Speech contains neuromuscular, physiological and cognitive components, and
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …

Semantic and acoustic markers in schizophrenia-Spectrum disorders: a combinatory machine learning approach

AE Voppel, JN de Boer, SG Brederoo… - Schizophrenia …, 2023 - academic.oup.com
Background and hypothesis Speech is a promising marker to aid diagnosis of schizophrenia-
spectrum disorders, as it reflects symptoms like thought disorder and negative symptoms …

Content-free speech activity records: interviews with people with schizophrenia

F Cangemi, M Grice, A Janz, V Lucarini… - Language Resources …, 2024 - Springer
Schizophrenia is characterised by a variety of symptoms, many of which are expressed
verbally. However, privacy concerns limit the possibility of collecting and sharing large …

Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module

J Oh, S Hwang, J Lee - Diagnostics, 2023 - mdpi.com
Fractures affect nearly 9.45% of the South Korean population, with radiography being the
primary diagnostic tool. This research employs a machine-learning methodology that …

Speech markers to predict and prevent recurrent episodes of psychosis: A narrative overview and emerging opportunities

F Zaher, M Diallo, AM Achim, R Joober, MA Roy… - Schizophrenia …, 2024 - Elsevier
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 …

Enthusiasts, pragmatists, and skeptics: investigating users' attitudes towards emotion-and personality-aware voice assistants across cultures

Y Ma, Y Abdelrahman, B Petz, H Drewes, F Alt… - Proceedings of Mensch …, 2022 - dl.acm.org
Voice Assistants (VAs) are becoming a regular part of our daily life. They are embedded in
our smartphones or smart home devices. Just as natural language processing has improved …

Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment

SK Simblett, M Pennington, M Quaife, S Siddi… - Journal of Affective …, 2023 - Elsevier
Background In time, we may be able to detect the early onset of symptoms of depression
and even predict relapse using behavioural data gathered through mobile technologies …

[HTML][HTML] Multilingual markers of depression in remotely collected speech samples

N Cummins, J Dineley, P Conde, F Matcham, S Siddi… - 2022 - europepmc.org
Background: Speech contains neuromuscular, physiological, and cognitive components and
so is a potential biomarker of mental disorders. Previous studies have indicated that …