An insight into diagnosis of depression using machine learning techniques: a systematic review

Ensemble Averaging of Transfer Learning Models for Identification of Nutritional Deficiency in Rice Plant

(2022) Mayuri Sharma et al.   Electronics

A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

(2021) Jakub Tomasik et al.   Translational Psychiatry

Using a machine learning approach to investigate factors associated with treatment-resistant depression among adults with chronic non-cancer pain conditions and major depressive disorder

(2021) Drishti Shah et al.   CURRENT MEDICAL RESEARCH AND OPINION

The diagnosis of ASD using multiple machine learning techniques

(2021) Chandan Jyoti Kumar et al.   International Journal of Developmental Disabilities

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

Smartphones in mental health: a critical review of background issues, current status and future concerns

(2020) Michael Bauer et al.   International Journal of Bipolar Disorders

The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method

(2020) Milena Čukić et al.   Cognitive Neurodynamics

Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging

(2020) Benedetta Vai et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Detection of Depression and Scaling of Severity Using Six Channel EEG Data

(2020) Shalini Mahato et al.   JOURNAL OF MEDICAL SYSTEMS

Understanding the Complex of Suicide in Depression: from Research to Clinics

(2020) Laura Orsolini et al.   Psychiatry Investigation

Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach

(2020) Baoyu Yan et al.   Frontiers in Neuroscience

Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review

(2020) Cyrus S. H. Ho et al.   Frontiers in Psychiatry

Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

(2020) Takashi Nakano et al.   Frontiers in Psychiatry

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes

(2020) Julieta G. Rodríguez-Ruiz et al.   Diagnostics

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

(2020) Caglar Uyulan et al.   CLINICAL EEG AND NEUROSCIENCE

Automated classification of depression from structural brain measures across two independent community‐based cohorts

(2020) Aleks Stolicyn et al.   HUMAN BRAIN MAPPING

Feature-level fusion approaches based on multimodal EEG data for depression recognition

(2020) Hanshu Cai et al.   Information Fusion

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

(2020) Katharina Schultebraucks et al.   PSYCHOLOGICAL MEDICINE

Speech Quality Feature Analysis for Classification of Depression and Dementia Patients

(2020) Brian Sumali et al.   SENSORS

Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder

(2020) Syeda Fabeha Husain et al.   Scientific Reports

The burden of disease in early schizophrenia – a systematic literature review

(2020) Benedicto Crespo-Facorro et al.   CURRENT MEDICAL RESEARCH AND OPINION

Anterior cingulate cortex, insula and amygdala seed-based whole brain resting-state functional connectivity differentiates bipolar from unipolar depression

(2020) Hua Yu et al.   JOURNAL OF AFFECTIVE DISORDERS

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

(2020) Petter Jakobsen et al.   PLoS One

Development of a depression in Parkinson's disease prediction model using machine learning

(2020) Haewon Byeon   World Journal of Psychiatry

Can machine learning be useful as a screening tool for depression in primary care?

(2020) Erito Marques de Souza Filho et al.   JOURNAL OF PSYCHIATRIC RESEARCH

A review on transfer learning in EEG signal analysis

(2020) Zitong Wan et al.   NEUROCOMPUTING

Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening Depression

(2020) Min Kang et al.   SENSORS

Generalizable brain network markers of major depressive disorder across multiple imaging sites

(2020) Ayumu Yamashita et al.   PLOS BIOLOGY

Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach.

(2020) Su Hong et al.   JOURNAL OF AFFECTIVE DISORDERS

Deep learning for the prediction of treatment response in depression

(2020) Letizia Squarcina et al.   JOURNAL OF AFFECTIVE DISORDERS

An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment

(2020) Jian Shen et al.   IEEE Journal of Biomedical and Health Informatics

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

(2019) Xinfang Ding et al.   JOURNAL OF AFFECTIVE DISORDERS

Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study

(2019) Sangwon Byun et al.   TECHNOLOGY AND HEALTH CARE

Depression recognition using machine learning methods with different feature generation strategies

(2019) Xiaowei Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

(2019) Suranga N Kasthurirathne et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis

(2019) Bach Xuan Tran et al.   International Journal of Environmental Research and Public Health

Early identification of bipolar from unipolar depression before manic episode: Evidence from dynamic rfMRI

(2019) Junneng Shao et al.   BIPOLAR DISORDERS

Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol

(2019) Sangwon Byun et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features

(2019) Miseon Shim et al.   NeuroImage-Clinical

Applications of Deep Learning to Neuro-Imaging Techniques

(2019) Guangming Zhu et al.   Frontiers in Neurology

Magnetoencephalography resting‐state spectral fingerprints distinguish bipolar depression and unipolar depression

(2019) Haiteng Jiang et al.   BIPOLAR DISORDERS

Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis

(2019) Luigi A. Maglanoc et al.   HUMAN BRAIN MAPPING

Depression biomarkers using non-invasive EEG: A review

(2019) Fernando Soares de Aguiar Neto et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder

(2019) Nivedhitha Mahendran et al.   SENSORS

Touchscreen typing pattern analysis for remote detection of the depressive tendency

(2019) Rafail-Evangelos Mastoras et al.   Scientific Reports

Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood

(2019) Ellen W. McGinnis et al.   IEEE Journal of Biomedical and Health Informatics

Depression and suicide risk prediction models using blood-derived multi-omics data

(2019) Youngjune Bhak et al.   Translational Psychiatry

Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach

(2019) Zhongzhi Xu et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A deep learning framework for automatic diagnosis of unipolar depression

(2019) Wajid Mumtaz et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Vocal pattern detection of depression among older adults

(2019) Marianne Smith et al.   International Journal of Mental Health Nursing

Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach

(2019) Lvchun Cui et al.   JOURNAL OF AFFECTIVE DISORDERS

Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry

(2019) Shalini Mahato et al.   JOURNAL OF MEDICAL SYSTEMS

Depression screening using mobile phone usage metadata: a machine learning approach

(2019) Rouzbeh Razavi et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The rise and fall of MRI studies in major depressive disorder

(2019) Chuanjun Zhuo et al.   Translational Psychiatry

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

(2019) Ziping Zhao et al.   IEEE Journal of Selected Topics in Signal Processing

Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases

(2018) Emine Elif Tulay et al.   CLINICAL EEG AND NEUROSCIENCE

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition

(2018) Kun Bi et al.   JOURNAL OF AFFECTIVE DISORDERS

Automated depression analysis using convolutional neural networks from speech

(2018) Lang He et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

(2018) Steven R. Livingstone et al.   PLoS One

Higher 5-HT 1A autoreceptor binding as an endophenotype for major depressive disorder identified in high risk offspring – A pilot study

(2018) Matthew S. Milak et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data

(2018) Hanshu Cai et al.   Interdisciplinary Sciences-Computational Life Sciences

Ensemble Transfer Learning Algorithm

(2018) Xiaobo Liu et al.   IEEE Access

Machine learning in major depression: From classification to treatment outcome prediction

(2018) Shuang Gao et al.   CNS Neuroscience & Therapeutics

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals

(2018) Manish Sharma et al.   Cognitive Systems Research

Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features

(2018) Haihua Jiang et al.   Computational and Mathematical Methods in Medicine

Development and evaluation of a multimodal marker of major depressive disorder

(2018) Jie Yang et al.   HUMAN BRAIN MAPPING

Eradicating Suicide at Its Roots: Preclinical Bases and Clinical Evidence of the Efficacy of Ketamine in the Treatment of Suicidal Behaviors

(2018) Domenico De Berardis et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Predictive markers of depression in hypertension

(2018) Xiuli Song et al.   MEDICINE

Factors Associated with the Risk of Developing Coronary Artery Disease in Medicated Patients with Major Depressive Disorder

(2018) Roger Ho et al.   International Journal of Environmental Research and Public Health

Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram

(2018) Benjamin J Ricard et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

(2018) Richard Dinga et al.   Translational Psychiatry

Using the NANA toolkit at home to predict older adults’ future depression

(2017) J.A. Andrews et al.   JOURNAL OF AFFECTIVE DISORDERS

Transdiagnostic differences in the resting-state functional connectivity of the prefrontal cortex in depression and schizophrenia

(2017) Xi Chen et al.   JOURNAL OF AFFECTIVE DISORDERS

Sample heterogeneity in unipolar depression as assessed by functional connectivity analyses is dominated by general disease effects

(2017) Stephan Feder et al.   JOURNAL OF AFFECTIVE DISORDERS

A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

(2017) Wajid Mumtaz et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm

(2017) Eun Young Kim et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

(2017) David M. Schnyer et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Depression symptom dimensions and asymmetrical frontal cortical activity while anticipating reward

(2017) Brady D. Nelson et al.   PSYCHOPHYSIOLOGY

Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns

(2017) Shih-Cheng Liao et al.   SENSORS

Automatic Assessment of Depression Based on Visual Cues: A Systematic Review

(2017) Anastasia Pampouchidou et al.   IEEE Transactions on Affective Computing

Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study

(2017) Kevin Hilbert et al.   Brain and Behavior

Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity

(2017) Runa Bhaumik et al.   NeuroImage-Clinical

Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

(2017) Kosuke Yoshida et al.   PLoS One

Convergence and divergence of neurocognitive patterns in schizophrenia and depression

(2017) Sugai Liang et al.   SCHIZOPHRENIA RESEARCH

Distinguishing medication-free subjects with unipolar disorder from subjects with bipolar disorder: state matters

(2016) Maria M Rive et al.   BIPOLAR DISORDERS

Predictability of depression severity based on posterior alpha oscillations

(2016) H. Jiang et al.   CLINICAL NEUROPHYSIOLOGY

Burden of illness and health care resource utilization in adult psychiatric outpatients with attention-deficit/hyperactivity disorder in Europe

(2016) Kristina Karlsdotter et al.   CURRENT MEDICAL RESEARCH AND OPINION

Dynamic functional–structural coupling within acute functional state change phases: Evidence from a depression recognition study

(2016) Kun Bi et al.   JOURNAL OF AFFECTIVE DISORDERS

Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample

(2016) Benedikt Sundermann et al.   JOURNAL OF NEURAL TRANSMISSION

A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder

(2016) J S Yu et al.   Translational Psychiatry

Accuracy of automated classification of major depressive disorder as a function of symptom severity

(2016) Rajamannar Ramasubbu et al.   NeuroImage-Clinical

A wrapper-based approach for feature selection and classification of major depressive disorder–bipolar disorders

(2015) Turker Tekin Erguzel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Computer-Aided Diagnosis of Depression Using EEG Signals

(2015) U. Rajendra Acharya et al.   EUROPEAN NEUROLOGY

Cortical thickness predicts the first onset of major depression in adolescence

(2015) Lara C. Foland-Ross et al.   INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE

Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach

(2015) Mon-Ju Wu et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO

(2015) Yu Shimizu et al.   PLoS One

Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression

(2015) João R. Sato et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

A review of depression and suicide risk assessment using speech analysis

(2015) Nicholas Cummins et al.   SPEECH COMMUNICATION

Discriminative analysis with a limited number of MEG trials in depression

(2014) Qing Lu et al.   JOURNAL OF AFFECTIVE DISORDERS

Wave 2 of the National Social Life, Health, and Aging Project: An Overview

(2014) M. D. Hayward et al.   JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES

Abnormal hubs of white matter networks in the frontal-parieto circuit contribute to depression discrimination via pattern classification

(2014) Jiaolong Qin et al.   MAGNETIC RESONANCE IMAGING

Resting-state functional connectivity abnormalities in first-onset unmedicated depression

(2014) Junjie Chen et al.   Neural Regeneration Research

Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

(2013) Qing Lu et al.   BRAIN RESEARCH

Multichannel matching pursuit of MEG signals for discriminative oscillation pattern detection in depression

(2013) Qing Lu et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Convergent and Divergent Functional Connectivity Patterns in Schizophrenia and Depression

(2013) Yang Yu et al.   PLoS One

Aberrant functional connectivity for diagnosis of major depressive disorder: A discriminant analysis

(2013) Longlong Cao et al.   PSYCHIATRY AND CLINICAL NEUROSCIENCES

Identifying major depressive disorder using Hurst exponent of resting-state brain networks

(2013) Maobin Wei et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

The DSM-5: Classification and criteria changes

(2013) Darrel A. Regier et al.   World Psychiatry

The effect of severity of depressive disorder on economic burden in a university hospital in Singapore

(2013) Roger CM Ho et al.   Expert Review of Pharmacoeconomics & Outcomes Research

Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression

(2012) Janaina Mourão-Miranda et al.   BIPOLAR DISORDERS

Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder

(2012) Benson Mwangi et al.   BRAIN

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal

(2012) Behshad Hosseinifard et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study

(2012) Dominik Grotegerd et al.   EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE

Machine learning classifier using abnormal brain network topological metrics in major depressive disorder

(2012) Hao Guo et al.   NEUROREPORT

Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder

(2012) Zhenghui Yi et al.   PLoS One

Increased Cortical-Limbic Anatomical Network Connectivity in Major Depression Revealed by Diffusion Tensor Imaging

(2012) Peng Fang et al.   PLoS One

Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression

(2012) Anton Lord et al.   PLoS One