Abstract: With the rise in societal pressures, depression and anxiety have increasingly become prominent mental health conditions impacting people's lives.
Xingyun Li's 3 research works with 5 citations, including: LI-FPN: Depression and Anxiety Detection from Learning and Imitation.
... LI-FPN: Depression and Anxiety Detection from Learning and Imitation. Citing Conference Paper. December 2023. Xingyun Li. ·. Lin Lu. ·. Xinyu Yi.
LI-FPN: Depression and Anxiety Detection from Learning and Imitation. X Li, L Lu, X Yi, H Wang, Y Zheng, Y Yu, Q Wang. 2023 IEEE International Conference on ...
May 30, 2024 · LI-FPN demonstrates high accuracy in detecting depression and anxiety, leveraging complex interactions between spatial and temporal data. Report ...
This study aims to explore the differences in voluntary facial mimicry behaviors between adolescents with mild or
Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review ... LI-FPN: Depression and Anxiety Detection from Learning and Imitation.
Mar 12, 2024 · To accurately diagnose the degree of depression of patients, this paper proposes a comprehensive framework, Cross-Channel Attentional Depression ...
Dec 30, 2022 · We propose a multi-modal system for the screening of depression and anxiety from self-administered speech tasks.
Missing: LI- FPN: Imitation.
In this article, we discuss recent advancements in artificial intelligence related to neuroimaging in the context of Obsessive-Compulsive Disorder.