Towards Automatic Depression Detection: A BiLSTM/1D CNN-Based Model

Towards Automatic Depression Detection: A BiLSTM/1D CNN-Based Model

Depression is a global mental health problem, the worst cases of which can lead to self-injury or suicide. An automatic depression detection system is of great help in facilitating clinical diagnosis and early intervention of depression. In this work, we propose a new automatic depression detection...

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Bibliographic Details
Main Authors:	Lin Lin, Xuri Chen, Ying Shen, Lin Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Series:	Applied Sciences
Subjects:	automatic depression detection multi-modal fusion deep learning BiLSTM 1D-CNN
Online Access:	https://www.mdpi.com/2076-3417/10/23/8701

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