Uncertainty aware domain incremental learning for cross domain depression detection

Uncertainty aware domain incremental learning for cross domain depression detection

Abstract Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disorder (MDD) from textual data but they still face limitations in real-world scenarios. Specifically, given the limited data availability, some efforts have resorted to aggregating data from diff...

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Bibliographic Details
Main Authors: Zita Lifelo, Jianguo Ding, Huansheng Ning, Sahraoui Dhelim
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Major depressive disorder
Data-free domain alignment
Incremental learning
Class imbalance
Uncertainty estimation
Online Access:https://doi.org/10.1038/s41598-025-10917-y
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https://doi.org/10.1038/s41598-025-10917-y

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