AIMC Topic: Depressive Disorder

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Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error.

Systematic reviews Jan 15, 2019
BACKGROUND: Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies. The aim is to achieve a high-performing algorithm ...
Humans Bibliometrics Systematic Reviews as Topic Workload Models, Animal Depressive Disorder Machine Learning Algorithms Sensitivity and Specificity Animals
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BP neural network prediction model for suicide attempt among Chinese rural residents.

Journal of affective disorders Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Adaptation, Psychological Depressive Disorder Impulsive Behavior Logistic Models Rural Population Self Concept Asian People Male Risk Factors Middle Aged Young Adult Surveys and Questionnaires China Humans Suicide, Attempted Adult Adolescent Social Support Case-Control Studies Neural Networks, Computer Sensitivity and Specificity Child Female
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Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source ...
Patient Health Questionnaire Humans Severity of Illness Index Electronic Health Records Natural Language Processing Adult Information Storage and Retrieval Depressive Disorder
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Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

Journal of anxiety disorders Oct 30, 2018
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. Inexpensive and accurate person-level assessment of PTSD risk after trauma exposure is a critical precursor to large-scale deployment of early intervent...
Humans Machine Learning Female Middle Aged Social Support Stress Disorders, Post-Traumatic Emergency Service, Hospital Self Report Risk Factors Hospitalization Adult Male Depressive Disorder
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Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.

Asian journal of psychiatry Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Depressive Disorder Marriage China Depression Genital Neoplasms, Female Sleep Wake Disorders Prevalence Anxiety Comorbidity Anxiety Disorders Humans Neural Networks, Computer Female Aged Adult Cross-Sectional Studies Middle Aged Aged, 80 and over Young Adult
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Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.

Journal of affective disorders Aug 14, 2018
BACKGROUND: No previous study has comprehensively reviewed the application of machine learning algorithms in mood disorders populations. Herein, we qualitatively and quantitatively evaluate previous studies of machine learning-devised models that pre...
Depressive Disorder Diagnosis, Computer-Assisted Treatment Outcome Neuroimaging Antidepressive Agents Humans Machine Learning Female Adult Male Algorithms Retrospective Studies
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Predicting suicidal ideation in primary care: An approach to identify easily assessable key variables.

General hospital psychiatry Feb 2, 2018
OBJECTIVE: To obtain predictors of suicidal ideation, which can also be used for an indirect assessment of suicidal ideation (SI). To create a classifier for SI based on variables of the Patient Health Questionnaire (PHQ) and sociodemographic variabl...
Humans Neural Networks, Computer Prognosis Cross-Sectional Studies Male Middle Aged Female Adult Support Vector Machine Pattern Recognition, Automated Depressive Disorder Risk Assessment Somatoform Disorders Anxiety Disorders Suicidal Ideation Primary Health Care
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Depression recognition according to heart rate variability using Bayesian Networks.

Journal of psychiatric research Sep 11, 2017
BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation ca...
Autonomic Nervous System Humans Adult Bayes Theorem Neural Networks, Computer Sensitivity and Specificity Heart Rate Female Depressive Disorder Reproducibility of Results Young Adult
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Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling.

The Australian and New Zealand journal of psychiatry Aug 31, 2017
OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised depression risk index. Our objective was to develop a method for a flexible, modular, Risk Index for Depression using structural equation models of key d...
Models, Statistical Depressive Disorder Patient Health Questionnaire Humans Machine Learning Risk Assessment
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Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PloS one Dec 9, 2016
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research w...
Depression Community Networks Logistic Models Cross-Sectional Studies Humans Population Surveillance Male Nutrition Surveys Self Report Middle Aged Cluster Analysis Gastrointestinal Diseases Comorbidity Machine Learning Depressive Disorder Female Adult
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