Psychiatry

The use of social robots with children and young people on the autism spectrum: A systematic review and meta-analysis.

BACKGROUND: Robot-mediated interventions show promise in supporting the development of children on t...

Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians' needs.

BACKGROUND: Developing predictive models for precision psychiatry is challenging because of unavaila...

Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm.

The majority of the current-generation individuals all around the world are dealing with a variety o...

Monitoring and Analysis of Youth Sports Physique by Intelligent Medical Robot Based on Cognitive Computing.

As a key part of promoting the physical health of the people and promoting social progress, sports h...

Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022).

The Design of Psychological Education Intervention System in Universities Based on Deep Learning.

With the rapid development of Chinese society and economy as well as the deepening of the reform of ...

Contrastive machine learning reveals the structure of neuroanatomical variation within autism.

Autism spectrum disorder (ASD) is highly heterogeneous. Identifying systematic individual difference...

Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics.

Intelligent health diagnosis for young children aims at maintaining and promoting the healthy develo...

Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy.

OBJECTIVE: The aim of this proof-of-concept study is to develop a predictive model based on deep lea...

Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG.

Electroencephalography (EEG) is widely used for mental stress classification, but effective feature ...

Determinants of implementing of pet robots in nursing homes for dementia care.

BACKGROUND: Pet robots have been employed as viable substitutes to pet therapy in nursing homes. Des...

Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning.

Depression is a global prevalent ailment for possible mental illness or mental disorder globally. Re...

Engaging Through Awareness: Purpose-Driven Framework Development to Evaluate and Develop Future Business Strategies With Exponential Technologies Toward Healthcare Democratization.

Industry 4.0 and digital transformation will likely come with an era of changes for most manufacture...

Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records.

BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized b...

Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression.

BACKGROUND: The debate of whether machine learning models offer advantages over standard statistical...

DNA Memristors and Their Application to Reservoir Computing.

This paper introduces memristors realized by molecular and DNA reactions. Molecular memristors proce...

A deep learning based method for intelligent detection of seafarers' mental health condition.

Mental health monitoring of seafarers is an important part of achieving normal development of the oc...

Using Convolutional Neural Networks for the Assessment Research of Mental Health.

Existing mental health assessment methods mainly rely on experts' experience, which has subjective b...

Continuous-time probabilistic models for longitudinal electronic health records.

Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medi...

Suicide Risk Prediction in Clinical Settings-Additional Considerations for Face-to-Face Screening and Machine Learning Approaches.

Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal.

Detection of mental disorders such as schizophrenia (SZ) through investigating brain activities reco...