Depression screening in humans with AI and deep learning techniques
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 …
population expresses their feelings and shares life experiences. Along with general …
A survey on wearable sensors for mental health monitoring
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 …
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 …
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
With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …
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
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 …
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
A novel wearable consumer electronics device for detecting Major Depressive Disorder
(MDD) has been developed using deep learning techniques for smart healthcare. Accurate …
(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
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 …
lifetime. Patients were analyzed based upon their text information, audio, video and image …
A deep learning framework for automatic diagnosis of unipolar depression
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 …
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 …
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
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 …
language processing. The task aims to detect users with depression based on their historical …