Depression screening in humans with AI and deep learning techniques

MA Wani, MA ELAffendi, KA Shakil… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Social media platforms have been widely used as a communication tool where most of the
population expresses their feelings and shares life experiences. Along with general …

A survey on wearable sensors for mental health monitoring

N Gomes, M Pato, AR Lourenco, N Datia - Sensors, 2023 - mdpi.com
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …

Treating Psychological Depression Utilising Artificial Intelligence: AI for Precision Medicine-Focus on Procedures

MM Eid, W Yundong… - … Journal of Artificial …, 2023 - journals.mesopotamian.press
Depression is a common and complex mental health condition that affects millions of people
in the world. Medical advice, medications, and constant medical supervision by a specialist …

Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks

A Ahmed, J Ramesh, S Ganguly… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …

Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data

X Ding, X Yue, R Zheng, C Bi, D Li, G Yao - Journal of affective Disorders, 2019 - Elsevier
Objective Major depression disorder (MDD) is one of the most prevalent mental disorders
worldwide. Diagnosing depression in the early stage is crucial to treatment process …

DepCap: a smart healthcare framework for EEG based depression detection using time-frequency response and deep neural network

G Sharma, AM Joshi, R Gupta… - IEEE Access, 2023 - ieeexplore.ieee.org
A novel wearable consumer electronics device for detecting Major Depressive Disorder
(MDD) has been developed using deep learning techniques for smart healthcare. Accurate …

Depression detection for elderly people using AI robotic systems leveraging the Nelder–Mead Method

AS Rajawat, R Rawat, K Barhanpurkar… - Artificial Intelligence for …, 2021 - Elsevier
Depression is a common disease occurring in every human at least once in his or her
lifetime. Patients were analyzed based upon their text information, audio, video and image …

A deep learning framework for automatic diagnosis of unipolar depression

W Mumtaz, A Qayyum - International journal of medical informatics, 2019 - Elsevier
Background and purpose In recent years, the development of machine learning (ML)
frameworks for automatic diagnosis of unipolar depression has escalated to a next level of …

Artificial Intelligence (Ai) In Mental Health Diagnosis and Treatment

D Talati - Journal of Knowledge Learning and Science …, 2023 - jklst.org
This article explores the increasing prevalence of mental health disorders and the pivotal
role of Artificial Intelligence (AI) in diagnosis and treatment. It highlights how AI enhances …

[HTML][HTML] Emotion-based reinforcement attention network for depression detection on social media: Algorithm development and validation

B Cui, J Wang, H Lin, Y Zhang, L Yang… - JMIR Medical …, 2022 - medinform.jmir.org
Background Depression detection has recently received attention in the field of natural
language processing. The task aims to detect users with depression based on their historical …