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Depressive Disorder, Major

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Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

JAMA network open Jan 3, 2020
IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent identifying treatments that would be effective for a particular patient. Thus, a tool that reliably predicts an individual patient's response to treatment ...
Reproducibility of Results Adult Sensitivity and Specificity Male Machine Learning Biomarkers Prognosis Female Humans Middle Aged Support Vector Machine Electroencephalography Depressive Disorder, Major Citalopram Predictive Value of Tests Canada Antidepressive Agents, Second-Generation Treatment Outcome
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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Aged Male Middle Aged Depressive Disorder, Major Humans Female Reproducibility of Results Gene Expression Gene Ontology Reverse Transcriptase Polymerase Chain Reaction Protein Interaction Maps Computational Biology Databases, Genetic
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Ensemble Learning for Early-Response Prediction of Antidepressant Treatment in Major Depressive Disorder.

Journal of magnetic resonance imaging : JMRI Dec 20, 2019
BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine-learning methods, prediction models have proved to be valuable for baseline predi...
Humans Machine Learning Prospective Studies Depressive Disorder, Major Support Vector Machine Antidepressive Agents
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Journal of medical systems Dec 13, 2019
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major disease affecting millions of people presently. The diagnosis of depression is questionnaire based a...
Middle Aged Depressive Disorder, Major Image Processing, Computer-Assisted Logistic Models Support Vector Machine Bayes Theorem Humans Electroencephalography Female Adult Male
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Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Translational psychiatry Nov 11, 2019
Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At current, works in major depressive disorder have predominantly focused on neuroimaging and clinical pred...
Patient Readmission Antidepressive Agents Follow-Up Studies Humans Magnetic Resonance Imaging Male Predictive Value of Tests Middle Aged Machine Learning Area Under Curve Depressive Disorder, Major Female Treatment Outcome Aged Biomarkers Adult Brain
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ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Genes Nov 7, 2019
Treating patients with major depressive disorder is challenging because it takes several months for antidepressants prescribed for the patients to take effect. This limitation may result in increased risks and treatment costs. To address this limitat...
Drug Resistance Humans Neural Networks, Computer Software Depressive Disorder, Major Treatment Outcome Antidepressive Agents
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A network perspective on body dysmorphic disorder and major depressive disorder.

Journal of affective disorders Nov 5, 2019
BACKGROUND: Body dysmorphic disorder (BDD) is a highly debilitating mental disorder associated with notable psychosocial impairment and high rates of suicidality. This study investigated BDD from a network perspective, which conceptualizes mental dis...
Compulsive Behavior Cross-Sectional Studies Body Dysmorphic Disorders Male Middle Aged Humans Depressive Disorder, Major Neural Networks, Computer Female Adult
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Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Nerve Net Cluster Analysis Brain Mapping Medical Informatics Pattern Recognition, Automated Adult Male Brain Middle Aged Diagnosis, Computer-Assisted Humans Female Depressive Disorder, Major Adolescent Neural Networks, Computer Reproducibility of Results Support Vector Machine Machine Learning Young Adult Magnetic Resonance Imaging Algorithms
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Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression.

Biological psychiatry. Cognitive neuroscience and neuroimaging Oct 22, 2019
BACKGROUND: Theoretical models have emphasized systems-level abnormalities in major depressive disorder (MDD). For unbiased yet rigorous evaluations of pathophysiological mechanisms underlying MDD, it is critically important to develop data-driven ap...
Male Depressive Disorder, Major Depression Double-Blind Method Reward Dopamine Antidepressive Agents, Second-Generation Amisulpride Machine Learning Female Young Adult Adult Humans
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Case-Control Studies Humans Quality Improvement Machine Learning User-Computer Interface Documentation Retrospective Studies Algorithms Decision Support Systems, Clinical Female Forms and Records Control Emergency Service, Hospital Male Depressive Disorder, Major
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