Textai2.0 (Psych): A Novel, Robust, and Generalized Cross-Domain Depression Detection Using Explainable Attention-Enabled Ensemble-Based Transformers

Author:

Singh Jaskaran,Khanna Narendranath,Laird John R.,Rathore Vijay,Agarwal Vijay,Ahluwalia Puneet,Singh Narpinder,Fouda Mostafa M.,Saba Luca,Suri Jasjit S.

Publisher

Elsevier BV

Reference79 articles.

1. SD-Sford-09, DD-Red-14, and CB-CyBull-21. We specifically chose only these three datasets, due to them being for a robustness and cross-domain analysis Figures 10, 11, and 12 illustrate the comprehensive evaluation of model performance across their entire operating range;Figure 10, the ROC curve represents the SD-Sford-09 dataset

2. Depression is the leading cause of disability around the world;M J Friedrich;Jama,2017

3. Other common mental disorders: global health estimates;W Depression;Geneva: World Health Organization,2017

4. Cognition as a treatment target in depression;M Kaser;Psychological medicine,2017

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