A novel automated depression detection technique using text transcript
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22793
Abstract: Depression is one of the most common mental illnesses, impacting billions of people worldwide. The lack of existing resources is impeding the country's economic prosperity. As a result, new approaches for detecting and treating mental… read more here.
Keywords: automated depression; depression detection; depression; proposed approach ... See more keywords
Research on depression detection algorithm combine acoustic rhythm with sparse face recognition
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1469-0
Abstract: Due to the existence of false positive rate of the traditional depression diagnosis method, this paper proposes a multi-modal fusion algorithm based on speech signal and facial image sequence for depression diagnosis. Introduced spectrum subtraction… read more here.
Keywords: depression; recognition; rate; detection algorithm ... See more keywords
Depression detection from sMRI and rs-fMRI images using machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-021-00653-w
Abstract: Major Depression Disorder (MDD) is a common mental disorder that negatively affects many people’s lives worldwide. Developing an automated method to find useful diagnostic biomarkers from brain imaging data would help clinicians to detect MDD… read more here.
Keywords: depression detection; machine learning; mri;
Depression detection from social network data using machine learning techniques
Sign Up to like & getrecommendations! Published in 2018 at "Health Information Science and Systems"
DOI: 10.1007/s13755-018-0046-0
Abstract: PurposeSocial networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity… read more here.
Keywords: depression; machine learning; social network; learning techniques ... See more keywords
Dep-capsule: capsule network for depression detection of Chinese microblog users
Sign Up to like & getrecommendations! Published in 2024 at "Kybernetes"
DOI: 10.1108/k-06-2024-1625
Abstract: PurposeDepression has become one of the most serious and prevalent mental health problems worldwide. The rise and popularity of social networks such as microblogs provides a wealth of psychological data for early depression detection. Language… read more here.
Keywords: detection; depression; language; depression detection ... See more keywords
A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3436895
Abstract: Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden. In this paper, we propose an efficient model consisting of a cascade of… read more here.
Keywords: detection; eeg based; depression detection; lstm attention ... See more keywords
EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3401389
Abstract: World Health Organization (WHO) has identified depression as a significant contributor to global disability, creating a complex thread in both public and private health. Electroencephalogram (EEG) can accurately reveal the working condition of the human… read more here.
Keywords: detection; eeg signals; using eeg; depression ... See more keywords
Fine-Tuning Large Language Models With Behavioral Alignment for Depression Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2025.3584888
Abstract: Depression is a prevalent mental health issue, and early detection is crucial for effective intervention. In this article, we propose the depression large language model (DLLM), a novel two-stage fine-tuning framework designed to enhance the… read more here.
Keywords: large language; depression; language; depression detection ... See more keywords
Breaking Age Barriers With Automatic Voice-Based Depression Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Pervasive Computing"
DOI: 10.1109/mprv.2022.3163656
Abstract: Adults over the age of 60 years are a rising population at-risk for depression, and there is a need to create automatic screening for this illness. Most existing voice-based depression datasets comprise speakers younger than… read more here.
Keywords: depression detection; voice based; voice; age ... See more keywords
Depression Detection Using an Automatic Sleep Staging Method With an Interpretable Channel-Temporal Attention Mechanism
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2024.3358022
Abstract: Despite previous efforts in depression detection studies, there is a scarcity of research on automatic depression detection using sleep structure, and several challenges remain: 1) how to apply sleep staging to detect depression and distinguish… read more here.
Keywords: attention mechanism; depression; depression detection; sleep staging ... See more keywords
An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2020.2990690
Abstract: At present, depression has become a main health burden in the world. However, there are many problems with the diagnosis of depression, such as low patient cooperation, subjective bias and low accuracy. Therefore, reliable and… read more here.
Keywords: depression detection; eye tracking; eeg eye; depression ... See more keywords