Psychiatry

Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample.

OBJECTIVE: The study objective was to generate a prediction model for treatment-resistant depression...

A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.

Lately, several studies started to investigate the existence of links between cannabis use and psych...

Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

The study demonstrated an application of machine learning techniques in building a depression predic...

Automatic Detection of Depression by Using a Neural Network.

Depression is the most common psychiatric disorder worldwide, which affects more than 300 million pe...

A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay.

In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neu...

How to Implement Robots in Interventions for Children with Autism? A Co-creation Study Involving People with Autism, Parents and Professionals.

The aim of this study was to gain insight into how robots can be practically implemented into curren...

Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort.

Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brai...

Tele-Operating an Android Robot to Promote the Understanding of Facial Expressions and to Increase Facial Expressivity in Individuals With Autism Spectrum Disorder.

New Maneuver in Robotic Single-Port Cholecystectomy.

The need to integrate aspects of functional, psychosocial and cosmetic impairment into medical care ...

Multi-class machine classification of suicide-related communication on Twitter.

The World Wide Web, and online social networks in particular, have increased connectivity between pe...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...

Feasibility of using sphero in rehabilitation of children with autism in social and communication skills.

The majority of children with autism face difficulties in social interaction and communication skill...

Learning about individuals' health from aggregate data.

There is growing awareness that user-generated social media content contains valuable health-related...

The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.

IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriou...

A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numero...

Psychophysiological resources and reserves for increasing flight safety.

The diirectins and ways of ostcgiogtsuikigucak health resources of pilot in order to ensure his prof...

Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.

HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim t...

Ontological Realism for the Research Domain Criteria for Mental Disorders.

At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional as...

Technology for Early Detection of Depression and Anxiety in Older People.

Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed metho...

Exploring the Use of a Humanoid Robot to Engage Children with Autism Spectrum Disorder (ASD).

We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educ...

From Patient Discharge Summaries to an Ontology for Psychiatry.

Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We develop...