Neurology

Autism

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

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A robust computational technique for model order reduction of two-time-scale discrete systems via genetic algorithms.

A robust computational technique for model order reduction (MOR) of multi-time-scale discrete system...

Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.

Although the prevalence of autism spectrum disorder (ASD) has risen sharply in the last few years re...

Considering the effects of gender in child-robot interaction studies: comment on Srinivasan, et Al. (2013).

Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction betwe...

Learning-based prediction of gestational age from ultrasound images of the fetal brain.

We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturat...

Preparation of agar nanospheres: comparison of response surface and artificial neural network modeling by a genetic algorithm approach.

Multivariate nature of drug loaded nanospheres manufacturing in term of multiplicity of involved fac...

RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

To facilitate precision medicine and whole-genome annotation, we developed a machine-learning techni...

DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identify...

Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.

We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma...

Kernel methods for large-scale genomic data analysis.

Machine learning, particularly kernel methods, has been demonstrated as a promising new tool to tack...

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

Activity recognition of an elderly person can be used to provide information and intelligent service...

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Feature selection is an important step in many pattern recognition systems aiming to overcome the so...

Prediction of road traffic death rate using neural networks optimised by genetic algorithm.

Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regio...

Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples.

The aim of this research was to develop a low price and environmentally friendly adsorbent with abun...

Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer's disease diagnosis and biomarker identification.

The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimagi...

Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platf...

Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder.

Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, th...

Genetic and environmental factors affecting hair density in East Asian populations.

BACKGROUND: Hair density traits, including follicular unit density (FUD) and hairs per follicular un...

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Mutations.

Recent advances in human genomics have revealed that missense mutations in a single protein can lead...

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