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cs.LG2025
A multimodal Bayesian Network for symptom-level depression and anxiety prediction from voice and speech data
Agnes Norbury, George Fairs, Alexandra L. Georgescu +3
During psychiatric assessment, clinicians observe not only what patients report, but important nonverbal signs such as tone, speech rate, fluency, responsiveness, and body language…
cs.LG2022
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
Salvatore Fara, Orlaith Hickey, Alexandra Georgescu +3
Predicting the presence of major depressive disorder (MDD) using behavioural and cognitive signals is a highly non-trivial task. The heterogeneous clinical profile of MDD means tha…