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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Veröffentlicht in:	Intelligence-based medicine Jg. 11; S. 100223
Hauptverfasser:	Murugavel, Kiruthiga Devi, R, Parthasarathy, Mathivanan, Sandeep Kumar, Srinivasan, Saravanan, Shivahare, Basu Dev, Shah, Mohd Asif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	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
Online-Zugang:	Volltext
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