A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues

Mood fluctuations that can vary from manic to depressive states are a symptom of a disease known as bipolar disorder, which affects mental health. Interviews with patients and gathering information from their families are essential steps in the diagnostic process for bipolar disorder. Automated appr...

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Vydáno v:	Intelligence-based medicine Ročník 11; s. 100223
Hlavní autoři:	Murugavel, Kiruthiga Devi, R, Parthasarathy, Mathivanan, Sandeep Kumar, Srinivasan, Saravanan, Shivahare, Basu Dev, Shah, Mohd Asif
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2025
Témata:	Audio-visual modality Bipolar disorder Deep denoising autoencoders (DDAEs) Fisher vectors (FVs) Informatics Multimodal Fisher vectors (FVs) Bipolar disorder Deep denoising autoencoders (DDAEs) Multimodal Audio-visual modality
ISSN:	2666-5212, 2666-5212
On-line přístup:	Získat plný text
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