标题
Deep learning in mental health outcome research: a scoping review
作者
关键词
-
出版物
Translational Psychiatry
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-06-12
DOI
10.1038/s41398-020-0780-3
参考文献
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。- Machine learning in mental health: a scoping review of methods and applications
- (2019) Adrian B. R. Shatte et al. PSYCHOLOGICAL MEDICINE
- Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
- (2019) Takashi Matsubara et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Cell-Coupled Long Short-Term Memory With $L$ -Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features
- (2019) Ming-Hsiang Su et al. IEEE Transactions on Neural Networks and Learning Systems
- Machine Learning Approaches for Clinical Psychology and Psychiatry
- (2018) Dominic B. Dwyer et al. Annual Review of Clinical Psychology
- Automated EEG-based screening of depression using deep convolutional neural network
- (2018) U. Rajendra Acharya et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
- (2018) Soo Beom Choi et al. JOURNAL OF AFFECTIVE DISORDERS
- Automated depression analysis using convolutional neural networks from speech
- (2018) Lang He et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network
- (2018) Maryam Akhavan Aghdam et al. JOURNAL OF DIGITAL IMAGING
- Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
- (2018) Naomi R. Wray et al. NATURE GENETICS
- A general prediction model for the detection of ADHD and Autism using structural and functional MRI
- (2018) Bhaskar Sen et al. PLoS One
- Visual interpretability for deep learning: a survey
- (2018) Quan-shi Zhang et al. Frontiers of Information Technology & Electronic Engineering
- A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers
- (2018) Eugene Lin et al. Frontiers in Psychiatry
- Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI
- (2018) Ling-Li Zeng et al. EBioMedicine
- Extracting psychiatric stressors for suicide from social media using deep learning
- (2018) Jingcheng Du et al. BMC Medical Informatics and Decision Making
- Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?
- (2018) Hong-Jie Dai et al. PLoS One
- iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes
- (2018) Atlas Khan et al. BMC BIOINFORMATICS
- Technology and mental health: The role of artificial intelligence
- (2018) Christopher A. Lovejoy et al. EUROPEAN PSYCHIATRY
- Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study
- (2018) Walter H. L. Pinaya et al. HUMAN BRAIN MAPPING
- Learning Spatial–Spectral–Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
- (2018) Pengbo Zhang et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- A primer on deep learning in genomics
- (2018) James Zou et al. NATURE GENETICS
- fMRIPrep: a robust preprocessing pipeline for functional MRI
- (2018) Oscar Esteban et al. NATURE METHODS
- Facebook language predicts depression in medical records
- (2018) Johannes C. Eichstaedt et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Comprehensive functional genomic resource and integrative model for the human brain
- (2018) Daifeng Wang et al. SCIENCE
- Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
- (2018) Kun-Yi Huang et al. PATTERN RECOGNITION
- DeepBipolar: Identifying genomic mutations for bipolar disorder via deep learning
- (2017) Sundaram Laksshman et al. HUMAN MUTATION
- Detecting Stress Based on Social Interactions in Social Networks
- (2017) Huijie Lin et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks
- (2017) Tung Tran et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores
- (2017) Anthony Rios et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Predicting healthcare trajectories from medical records: A deep learning approach
- (2017) Trang Pham et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Researching Mental Health Disorders in the Era of Social Media: Systematic Review
- (2017) Akkapon Wongkoblap et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
- (2017) Sandra Vieira et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- Genetics of Depression: Progress at Last
- (2017) Niamh Mullins et al. Current Psychiatry Reports
- Characterisation of mental health conditions in social media using Informed Deep Learning
- (2017) George Gkotsis et al. Scientific Reports
- Evaluating the Visualization of What a Deep Neural Network Has Learned
- (2017) Wojciech Samek et al. IEEE Transactions on Neural Networks and Learning Systems
- Automated Depression Diagnosis based on Deep Networks to Encode Facial Appearance and Dynamics
- (2017) Yu Zhu et al. IEEE Transactions on Affective Computing
- Moving From Static to Dynamic Models of the Onset of Mental Disorder
- (2017) Barnaby Nelson et al. JAMA Psychiatry
- 3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI
- (2017) Liang Zou et al. IEEE Access
- Artificial Intelligent System for Automatic Depression Level Analysis through Visual and Vocal Expressions
- (2017) Asim Jan et al. IEEE Transactions on Cognitive and Developmental Systems
- Characterizing treatment pathways at scale using the OHDSI network
- (2016) George Hripcsak et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia
- (2016) Walter H. L. Pinaya et al. Scientific Reports
- Deep Learning in Drug Discovery
- (2015) Erik Gawehn et al. Molecular Informatics
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Online and Social Networking Interventions for the Treatment of Depression in Young People: A Systematic Review
- (2014) Simon M Rice et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Autoencoder for words
- (2014) Cheng-Yuan Liou et al. NEUROCOMPUTING
- STRING v10: protein–protein interaction networks, integrated over the tree of life
- (2014) Damian Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
- (2013) David Moher ANNALS OF INTERNAL MEDICINE
- Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects
- (2013) Hugo G. Schnack et al. NEUROIMAGE
- A review of wearable sensors and systems with application in rehabilitation
- (2012) Shyamal Patel et al. Journal of NeuroEngineering and Rehabilitation
- Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders
- (2010) Thomas Insel et al. AMERICAN JOURNAL OF PSYCHIATRY
- Prediction Modeling Using EHR Data
- (2010) Jionglin Wu et al. MEDICAL CARE
- Social network determinants of depression
- (2010) J N Rosenquist et al. MOLECULAR PSYCHIATRY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started