Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it...

Oct 2019 31839402
Recommendations and future directions for supervised machine learning in psychiatry.

Machine learning methods hold promise for personalized care in psychiatry, demonstrating the potenti...

Oct 2019 31641106
The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS?

The ability to identify reliable and sensitive physiological signatures of psychological dimensions ...

Oct 2019 31639382
cytogenotoxic evaluation of sertraline.

Sertraline (SRT) is an antidepressant agent used as a neuronal selective serotonin-reuptake inhibito...

Oct 2019 31736631
Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model buildin...

Oct 2019 31624229
Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study.

BACKGROUND: Poor quality primary health care is a major issue in China, particularly in blindness pr...

Oct 2019 31625950
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.

BACKGROUND: Although geriatric depression is prevalent, diagnosis using self-reporting instruments h...

Oct 2019 31621642
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale.

The identification of autistic individuals using resting state functional connectivity networks can ...

Oct 2019 32728675
Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.

Multiplayer Online Battle Arena (MOBA) has become one of the most popular genre of online video game...

Oct 2019 31704370
Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.

Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional conne...

Oct 2019 31581175
Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder.

Obsessive and Compulsive Symptoms (OCS) or Obsessive Compulsive Disorder (OCD) in the context of sch...

Oct 2019 31578348
Generalizability of machine learning for classification of schizophrenia based on resting-state functional MRI data.

Machine learning has increasingly been applied to classification of schizophrenia in neuroimaging re...

Oct 2019 31571320
Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.

Previous structural and functional neuroimaging studies have implicated distributed brain regions an...

Oct 2019 31571370
The Bot Will See You Now: A History and Review of Interactive Computerized Mental Health Programs.

The goal of automating complex human activities dates to antiquity. The mental health field has also...

Oct 2019 31672212
Phasic dopamine release identification using convolutional neural network.

Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as...

Sep 2019 31568974
A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.

OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive proces...

Sep 2019 31553774
Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An e...

Sep 2019 31569007
Machine learning discovery of longitudinal patterns of depression and suicidal ideation.

BACKGROUND AND AIM: Depression is often accompanied by thoughts of self-harm, which are a strong pre...

Sep 2019 31539408
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.

OBJECTIVES: The International Society for Bipolar Disorders Big Data Task Force assembled leading re...

Sep 2019 31465619
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.

OBJECTIVE: We exploit altered patterns in brain functional connectivity as features for automatic di...

Sep 2019 31536026
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