Latest AI and machine learning research in psychiatry for healthcare professionals.
The aim of this study was to gain insight into how robots can be practically implemented into current education and therapy interventions for children with autism spectrum disorder (ASD). This qualitative study included focus groups and co-creation sessions. 73 Participants (professionals and adults with ASD) took part in 13 focus groups to elicit requirements for robot assisted interventions. Add...
Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brain markers are unknown. Machine learning approaches can identify patterns in imaging data that predict diagnostic status, but most studies using functional connectivity MRI (fcMRI) data achieved only modest accuracies of 60-80%. We used conditional random forest (CRF), an ensemble learning technique ...
The need to integrate aspects of functional, psychosocial and cosmetic impairment into medical care is increasingly accepted among the physicians and ...
The World Wide Web, and online social networks in particular, have increased connectivity between people such that information can spread to millions ...
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, an...
The majority of children with autism face difficulties in social interaction and communication skills. Consequently, in this paper we present a pilot ...
There is growing awareness that user-generated social media content contains valuable health-related information and is more convenient to collect tha...
IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriously impairing, and usually undiagnosed has led to ...
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been p...
The diirectins and ways of ostcgiogtsuikigucak health resources of pilot in order to ensure his professional safety are discussed. The author analyz t...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predict...
At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional aspects of behavior are related to genotypic and (en...
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine ...
We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educational interventions targeting children with auti...
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We developed ONTOPSYCHIA, an ontology for psychiatry in thre...
This study objectives to investigate a range of Partin table and several machine learning methods for pathological stage prediction and assess them wi...
Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from seeking help. Saint Elizabeth Health Care's Intellig...