Neurology

Autism

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

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The effectiveness of argumentation in tutorial dialogues with an Intelligent Tutoring System for genetic risk of breast cancer.

BRCA Gist is an Intelligent Tutoring System that helps women understand issues related to genetic te...

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.

Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral pheno...

Genetic algorithms for dipole location of fetal magnetocardiography.

In this paper, we explore the use of Maximum Likelihood (ML) method with Genetic Algorithms (GA) as ...

Challenges and Opportunities for Increasing the Knowledge Base Related to Drug Biotransformation and Pharmacokinetics during Growth and Development.

It is generally acknowledged that there is a need and role for informative pharmacokinetic models to...

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

UNLABELLED: Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded n...

Mapping Robots to Therapy and Educational Objectives for Children with Autism Spectrum Disorder.

The aim of this study was to increase knowledge on therapy and educational objectives professionals ...

[Hyperspectral Estimation of Apple Tree Canopy LAI Based on SVM and RF Regression].

Leaf area index (LAI) is the dynamic index of crop population size. Hyperspectral technology can be ...

Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.

The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and ...

Children with Autism Spectrum Disorders Make a Fruit Salad with Probo, the Social Robot: An Interaction Study.

Social robots are thought to be motivating tools in play tasks with children with autism spectrum di...

Mapping Sub-Second Structure in Mouse Behavior.

Complex animal behaviors are likely built from simpler modules, but their systematic identification ...

Brief Report: Development of a Robotic Intervention Platform for Young Children with ASD.

Increasingly researchers are attempting to develop robotic technologies for children with autism spe...

Brief Report: A Pilot Summer Robotics Camp to Reduce Social Anxiety and Improve Social/Vocational Skills in Adolescents with ASD.

This pilot study evaluated a novel intervention designed to reduce social anxiety and improve social...

Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviour...

Can Robotic Interaction Improve Joint Attention Skills?

Although it has often been argued that clinical applications of advanced technology may hold promise...

Aspherical lens design using hybrid neural-genetic algorithm of contact lenses.

The design of complex contact lenses involves numerous uncertain variables. How to help an optical d...

Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.

BACKGROUND: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity...

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.

In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper...

Applying machine learning to facilitate autism diagnostics: pitfalls and promises.

Machine learning has immense potential to enhance diagnostic and intervention research in the behavi...

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