AIMC Topic: Depressive Disorder, Major

Clear Filters Showing 81 to 90 of 215 articles

Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care.

Depression and anxiety Apr 9, 2024
New developments in machine learning-based analysis of speech can be hypothesized to facilitate the long-term monitoring of major depressive disorder (MDD) during and after treatment. To test this hypothesis, we collected 550 speech samples from tele...
Sensitivity and Specificity Humans Female Male Young Adult Machine Learning Middle Aged Adult Depressive Disorder, Major Speech Psychiatric Status Rating Scales
View on PubMed DOI

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

NeuroImage Apr 1, 2024
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms...
Autism Spectrum Disorder Brain Female Humans Neural Networks, Computer Mental Disorders Depressive Disorder, Major Magnetic Resonance Imaging Nerve Net Young Adult Adult Male
View on PubMed DOI

Optimizing precision medicine for second-step depression treatment: a machine learning approach.

Psychological medicine Mar 27, 2024
BACKGROUND: Less than a third of patients with depression achieve successful remission with standard first-step antidepressant monotherapy. The process for determining appropriate second-step care is often based on clinical intuition and involves a p...
Humans Male Precision Medicine Middle Aged Female Depressive Disorder, Major Adult Machine Learning Algorithms Remission Induction Antidepressive Agents Cognitive Behavioral Therapy
View on PubMed DOI

Prediction of treatment response in major depressive disorder using a hybrid of convolutional recurrent deep neural networks and effective connectivity based on EEG signal.

Physical and engineering sciences in medicine Feb 15, 2024
In this study, we have developed a novel method based on deep learning and brain effective connectivity to classify responders and non-responders to selective serotonin reuptake inhibitors (SSRIs) antidepressants in major depressive disorder (MDD) pa...
Male Middle Aged Depressive Disorder, Major Female Adult Signal Processing, Computer-Assisted Selective Serotonin Reuptake Inhibitors Deep Learning Treatment Outcome Electroencephalography Humans Neural Networks, Computer
View on PubMed DOI

DiffMDD: A Diffusion-Based Deep Learning Framework for MDD Diagnosis Using EEG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 13, 2024
Major Depression Disorder (MDD) is a common yet destructive mental disorder that affects millions of people worldwide. Making early and accurate diagnosis of it is very meaningful. Recently, EEG, a non-invasive technique of recording spontaneous elec...
Deep Learning Electroencephalography Humans Brain Depressive Disorder, Major
View on PubMed DOI

Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy.

Asian journal of psychiatry Jan 3, 2024
BACKGROUND: Major depressive disorder (MDD) affects a substantial number of individuals worldwide. New approaches are required to improve the diagnosis of MDD, which relies heavily on subjective reports of depression-related symptoms.
Spectroscopy, Near-Infrared Prefrontal Cortex Deep Learning Magnetic Resonance Imaging Humans Artificial Intelligence Depressive Disorder, Major
View on PubMed DOI

Development of depression assessment tools using humanoid robots -Can tele-operated robots talk with depressive persons like humans?

Journal of psychiatric research Dec 11, 2023
BACKGROUND: Depression is a common mental disorder and causes significant social loss. Early intervention for depression is important. Nonetheless, depressed patients tend to conceal their symptoms from others based on shame and stigma, thus hesitate...
Depression Suicidal Ideation Robotics Reproducibility of Results Male Depressive Disorder, Major Humans
View on PubMed DOI

Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers.

Journal of affective disorders Nov 12, 2023
BACKGROUND: Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing trea...
Humans Depressive Disorder, Major Deep Learning Bipolar Disorder Electroencephalography Schizophrenia Healthy Volunteers
View on PubMed DOI

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

BMC research notes Sep 21, 2023
OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya.
Outcome Assessment, Health Care Kenya Africa, Eastern Artificial Intelligence Depressive Disorder, Major Humans
View on PubMed DOI

Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.

Neuroscience letters May 29, 2023
Depression is a psychological condition which hampers day to day activity (Thinking, Feeling or Action). The early detection of this illness will help to save many lives because it is now recognized as a global problem which could even lead to suicid...
Machine Learning Depressive Disorder, Major Case-Control Studies Random Forest Humans Depression Datasets as Topic Neural Networks, Computer Decision Trees Electroencephalography
View on PubMed DOI
Popular Topics
Recent Journals