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...

Full description

Bibliographic Details

Published in:	Intelligence-based medicine Vol. 11; p. 100223
Main Authors:	Murugavel, Kiruthiga Devi, R, Parthasarathy, Mathivanan, Sandeep Kumar, Srinivasan, Saravanan, Shivahare, Basu Dev, Shah, Mohd Asif
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2025
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!