A multimodal Bayesian network for symptom-level depression and anxiety prediction from voice and speech data
A
Agnes Norbury
(Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London)
G
George Fairs
A
Alexandra L. Georgescu
M
Matthew M. Nour
(Department of Psychiatry, University of Oxford)
E
Emilia Molimpakis
S
Stefano Goria
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
February 06, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (6)
A
Agnes Norbury
Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London
G
George Fairs
A
Alexandra L. Georgescu
M
Matthew M. Nour
Department of Psychiatry, University of Oxford
E
Emilia Molimpakis
S
Stefano Goria
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