AIMC Topic: Depressive Disorder, Major
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Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder.
Psychiatry research. Neuroimaging
Mar 23, 2017
Using MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of prior neuroimaging work has been descriptive rather than predictive. The current study applies support vector machine (SVM) learning to MRI measures ...
Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm.
Progress in neuro-psychopharmacology & biological psychiatry
Feb 20, 2017
OBJECTIVE: Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves abnormalities in multiple biochemical pathways and the autonomic nervous system. This study applied a machine-learning method to classify MDD and contr...
Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study.
Brain and behavior
Feb 12, 2017
BACKGROUND: Generalized anxiety disorder (GAD) is difficult to recognize and hard to separate from major depression (MD) in clinical settings. Biomarkers might support diagnostic decisions. This study used machine learning on multimodal biobehavioral...
Predictive diagnosis of major depression using NMR-based metabolomics and least-squares support vector machine.
Clinica chimica acta; international journal of clinical chemistry
Dec 5, 2016
BACKGROUND: Major depressive (MD) disorder is a serious psychiatric disorder that can result in suicidal behavior if not treated. The MD diagnosis using a standardized instrument instead of a structured interview will be advantageous for treatment an...
Advanced literature analysis in a Big Data world.
Annals of the New York Academy of Sciences
Nov 10, 2016
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...
National Institute of Mental Health (U.S.)
Database Management Systems
Databases, Bibliographic
Translational Research, Biomedical
Schizophrenia
Data Mining
Abstracting and Indexing
Animals
Depressive Disorder, Major
Anxiety Disorders
Bipolar Disorder
Computational Biology
United States
Mass Screening
Natural Language Processing
Periodicals as Topic
Mental Disorders
Biomarkers
Prognosis
Biomedical Research
Humans
Software
A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.
Translational psychiatry
Oct 25, 2016
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cost of hundreds of billions of dollars each year, necessitating more effective treatment strategies and novel approaches to translational research. A no...
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.
Translational psychiatry
Oct 18, 2016
The ability to predict psychiatric readmission would facilitate the development of interventions to reduce this risk, a major driver of psychiatric health-care costs. The symptoms or characteristics of illness course necessary to develop reliable pre...
Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder.
NeuroImage
Sep 10, 2016
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to diff...
Accuracy of automated classification of major depressive disorder as a function of symptom severity.
NeuroImage. Clinical
Jul 27, 2016
BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based diagnostic methods for major depressive disorder (MDD). As symptom severity may influence brain activity, we investigated whether the severity of MDD ...
[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].
Psychiatrische Praxis
Feb 9, 2016
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.
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