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Ensemble-Based Multimodal Analysis for Depression Detection

Year: 2025
Type: article
Abstract: Depression is a widespread mental health disorder that affects individuals globally; it can be detected using traditional methods as well as advanced technological approaches.The study works on various modalities and methods, like textual, audio, and visual modalities, as well as advanced techniques.This study includes research methodology for depression detection using a multimodal dataset containing textual, audio, and visual modalities.The study also consists of clustering and
DOI: 10.30919/es1604
Institutions: Savitribai Phule Pune University, Sinha Institute of Medical Science & Technology, Indian Institute of Information Technology, Sonepat, S. G. Balekundri Institute of Technology Belagavi, Sitamarhi Institute of Technology, Loyola Institute of Technology and Science
Language: English
Field: Psychology
Open Access status: diamond
OpenAlex ID: W4411747655
FWCI: 3.184
Cites:
Cited by: 3
Related to: 10