A hybrid BERT-BiRNN framework for mental health prediction using textual data

Effective mental health prediction requires training of artificial intelligence algorithms on relevant datasets obtained from individuals suffering from mental illnesses. This study employs a labelled​ text dataset derived from Lyf Support app. To harness the potential of this dataset for the develo...

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Bibliographic Details

Published in:	Natural Language Processing Journal
Main Authors:	Muhammad Nouman, Sui Yang Khoo, M.A. Parvez Mahmud, Abbas Z. Kouzani
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Text conversations Natural language processing Deep learning Mental health prediction
Online Access:	http://www.sciencedirect.com/science/article/pii/S294971912500041X