Psychiatry

An expandable approach for design and personalization of digital, just-in-time adaptive interventions.

OBJECTIVE: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theor...

RRAM-based synapse devices for neuromorphic systems.

Hardware artificial neural network (ANN) systems with high density synapse array devices can perform...

Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection prov...

Machine-learning approaches in psychotherapy: a promising tool for advancing the understanding of the psychotherapeutic process.

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia f...

Roles, Strengths and Challenges of Using Robots in Interventions for Children with Autism Spectrum Disorder (ASD).

The aim of this research was to study roles, strengths and challenges of robot-mediated intervention...

[Artificial Intelligence in Psychiatry].

Diagnosis of psychiatric disorders is based primarily on subjective symptoms, and neuroimaging or ot...

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children...

MIRKB: a myocardial infarction risk knowledge base.

Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide...

Artificial Intelligence in Psychiatry.

Scientific findings over the past few decades have shaped our understanding of the underlying neurob...

Machine Learning in Neural Networks.

Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by pr...

Understanding Mood Disorders in Children.

Mood disorders include all types of depression and bipolar disorder, and mood disorders are sometime...

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional f...

The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.

Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple pheno...

Internet-Based Management for Depressive Disorder.

The advances in the Internet and related technologies may lead to changes in professional roles of p...

Smart and Assistive Walker - ASBGo: Rehabilitation Robotics: A Smart-Walker to Assist Ataxic Patients.

Locomotion is an important human faculty that affects an individual's life, bringing not only physic...

Technology in geriatrics.

Recently, the interest of industry, government agencies and healthcare professionals in technology f...

Small-Group Technology-Assisted Instruction: Virtual Teacher and Robot Peer for Individuals with Autism Spectrum Disorder.

The authors combined virtual reality technology and social robotics to develop a tutoring system tha...

ICT and autism care: state of the art.

PURPOSE OF REVIEW: Over the past 10 years, the use of information and communication technologies (IC...

Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.

OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine...

The impact of social housing on mental health: longitudinal analyses using marginal structural models and machine learning-generated weights.

BACKGROUND: Social housing may provide an affordable and secure residential environment, but has als...