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Daniel Leightley

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Open access Sep 2026

Detecting short-term post-traumatic stress disorder symptom increases among veterans: machine-learning analysis integrating wearable sensor and daily self-report data

Background Post-traumatic stress disorder (PTSD) symptoms can fluctuate substantially over short periods, yet routine screening typically relies on infrequent self-report. Wearable sensors provide continuous behavioural and physiological signals that may help identify periods of elevated risk. Aims This study aimed to...

Daniel Leightley, John J. Prindle, Shaddy K. Saba et al. · 0 citations
Open access Sep 2026

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...

A. Tokareva, J. Dineley, Z. Firth et al. · 0 citations

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