4.7 Article

Prediction of Probable Major Depressive Disorder in the Taiwan Biobank: An Integrated Machine Learning and Genome-Wide Analysis Approach

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Neurosciences

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

Abdolkarim Saeedi et al.

Summary: Deep learning techniques have advanced significantly in the field of artificial intelligence, aiding psychologists in early diagnosis of mental disorders. An EEG-based deep learning framework has been proposed to automatically discriminate MDD patients from healthy controls, achieving high accuracy.

COGNITIVE NEURODYNAMICS (2021)

Article Public, Environmental & Occupational Health

Employment and earnings trajectories before and after sickness absence due to major depressive disorder: a nationwide case-control study

Christian Hakulinen et al.

Summary: Sickness absence due to major depressive disorder (MDD) was associated with increased probability of non-employment during and after the first sickness absence period. Men had lower probability of being employed 5 years before the sickness absence period due to MDD, while women did not exhibit this trend. Compared to the control group, men experienced around 34% and women 15% lower earnings 1 year after the first sickness absence period due to MDD, and around 40% and 23% lower earnings, respectively, 5 years after. More severe MDD and longer sickness absence durations were linked to lower probability of being employed.

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2021)

Article Multidisciplinary Sciences

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Matthew D. Nemesure et al.

Summary: This study utilized machine learning methods to reanalyze data and found that biomedical markers and patient characteristics can be used for the detection of GAD and MDD. The final model showed moderate predictive performance for both GAD and MDD, with an AUC of 0.73 and 0.67 respectively, on the test set.

SCIENTIFIC REPORTS (2021)

Review Neurosciences

Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments

Eugene Lin et al.

Summary: This review focuses on the latest developments in pharmacogenomics research using machine learning and deep learning in predicting treatment outcomes and potential biomarkers for antidepressant treatments in patients with major depressive disorder. Neuroimaging studies utilizing various machine learning approaches to predict treatment outcomes based on the integration of pharmacogenomics and neuroimaging are also discussed.

CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE (2021)

Article Clinical Neurology

The Role of Relationship Status in Major Depressive Disorder-Results of the European Group for the Study of Resistant Depression

Lucie Bartova et al.

Summary: The study explored the association between relationship status and the clinical phenotype of MDD, showing that single patients tended to be younger with higher suicidal risk, separated patients had more severe symptoms, and partnered patients had lower suicidal risk.

JOURNAL OF AFFECTIVE DISORDERS (2021)

Article Multidisciplinary Sciences

Applying a bagging ensemble machine learning approach to predict functional outcome of schizophrenia with clinical symptoms and cognitive functions

Eugene Lin et al.

Summary: The study investigated the impact of clinical symptoms and cognitive function on the functional outcome of schizophrenia patients, establishing a bagging ensemble framework with feature selection to predict outcomes accurately.

SCIENTIFIC REPORTS (2021)

Review Biochemistry & Molecular Biology

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

Eugene Lin et al.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)

Article Clinical Neurology

Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery

Bill Qi et al.

INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY (2020)

Article Clinical Neurology

Downregulated transferrin receptor in the blood predicts recurrent MDD in the elderly cohort: A fuzzy forests approach

Liliana G. Ciobanu et al.

JOURNAL OF AFFECTIVE DISORDERS (2020)

Article Biotechnology & Applied Microbiology

An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways

Eugene Lin et al.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)

Review Genetics & Heredity

Gender Differences in Depression: Evidence From Genetics

Lihong Zhao et al.

FRONTIERS IN GENETICS (2020)

Article Biochemistry & Molecular Biology

The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019

Annalisa Buniello et al.

NUCLEIC ACIDS RESEARCH (2019)

Article Psychiatry

Recent increases in depressive symptoms among US adolescents: trends from 1991 to 2018

Katherine M. Keyes et al.

SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY (2019)

Article Psychology

Machine Learning Approaches for Clinical Psychology and Psychiatry

Dominic B. Dwyer et al.

Annual Review of Clinical Psychology (2018)

Article Psychiatry

Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank

Lynsey S. Hall et al.

TRANSLATIONAL PSYCHIATRY (2018)

Review Neurosciences

Machine Learning for Precision Psychiatry: Opportunities and Challenges

Danilo Bzdok et al.

BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING (2018)

Review Oncology

Machine learning and systems genomics approaches for multi-omics data

Eugene Lin et al.

BIOMARKER RESEARCH (2017)

Article Psychiatry

A genome-wide association study of emotion dysregulation: Evidence for interleukin 2 receptor alpha

Abigail Powers et al.

JOURNAL OF PSYCHIATRIC RESEARCH (2016)

Review Neurosciences

The road to precision psychiatry: translating genetics into disease mechanisms

Michael J. Gandal et al.

NATURE NEUROSCIENCE (2016)

Review Psychology, Clinical

Machine learning, statistical learning and the future of biological research in psychiatry

R. Iniesta et al.

PSYCHOLOGICAL MEDICINE (2016)

Article Multidisciplinary Sciences

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie et al.

SCIENCE (2015)

Article Biochemistry & Molecular Biology

Astrocytic abnormalities and global DNA methylation patterns in depression and suicide

C. Nagy et al.

MOLECULAR PSYCHIATRY (2015)

Article Public, Environmental & Occupational Health

Age, Period, and Cohort Effects in Psychological Distress in the United States and Canada

Katherine M. Keyes et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2014)

Article Behavioral Sciences

Further confirmation of the association between anxiety and CTNND2: replication in humans

M. G. Nivard et al.

GENES BRAIN AND BEHAVIOR (2014)

Article Pharmacology & Pharmacy

Astrocyte Pathology in Major Depressive Disorder: Insights from Human Postmortem Brain Tissue

Grazyna Rajkowska et al.

CURRENT DRUG TARGETS (2013)

Article Biochemistry & Molecular Biology

A mega-analysis of genome-wide association studies for major depressive disorder

Patrick F. Sullivan et al.

MOLECULAR PSYCHIATRY (2013)

Review Computer Science, Artificial Intelligence

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

Mikel Galar et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)

Review Substance Abuse

Alcohol and depression

Joseph M. Boden et al.

ADDICTION (2011)

Article Psychiatry

Common Variants in the BCL9 Gene Conferring Risk of Schizophrenia

Junyan Li et al.

ARCHIVES OF GENERAL PSYCHIATRY (2011)

Article Public, Environmental & Occupational Health

Associations between unemployment and major depressive disorder: Evidence from an international, prospective study (the predict cohort)

Barbara J. Jefferis et al.

SOCIAL SCIENCE & MEDICINE (2011)

Article Medicine, Research & Experimental

A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data

Lung-Cheng Huang et al.

JOURNAL OF TRANSLATIONAL MEDICINE (2009)

Article Psychiatry

Tobacco smoking as a risk factor for major depressive disorder: population-based study

Julie A. Pasco et al.

BRITISH JOURNAL OF PSYCHIATRY (2008)

Article Genetics & Heredity

PLINK: A tool set for whole-genome association and population-based linkage analyses

Shaun Purcell et al.

AMERICAN JOURNAL OF HUMAN GENETICS (2007)

Article Clinical Neurology

Epidemiology of women and depression

RC Kessler

JOURNAL OF AFFECTIVE DISORDERS (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)