Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder

Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder

Major depressive disorder (MDD) is a prevalent mental health condition and has become a pressing societal challenge. Early prediction of treatment response may aid in the rehabilitation engineering of depression, which is of great practical significance for the relief of suffering and burden of MDD....

Full description

Bibliographic Details
Main Authors: Bochao Zou, Xiaolong Zhang, Le Xiao, Ran Bai, Xin Li, Hui Liang, Huimin Ma, Gang Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Major depressive disorder
treatment response prediction
digital phenotyping
sequence modeling
Online Access:https://ieeexplore.ieee.org/document/10078348/

Similar Items

Similar Items