Neurology

Autism

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

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Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.

Combination pharmacotherapy targets key disease pathways in a synergistic or additive manner and has...

A hybrid model integrating long short-term memory with adaptive genetic algorithm based on individual ranking for stock index prediction.

Modeling and forecasting stock prices have been important financial research topics in academia. Thi...

Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.

There is growing evidence for the role of DNA methylation (DNAm) quantitative trait loci (mQTLs) in ...

Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm.

Using the traditional English teaching mode is difficult to help correct students, and it is difficu...

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis an...

Extending Robot Therapy for Children with Autism Using Mobile and Web Application.

Robot treatments for children with autism have proven to be successful and effective. However, the r...

DCNN-FuzzyWOA: Artificial Intelligence Solution for Automatic Detection of COVID-19 Using X-Ray Images.

Artificial intelligence (AI) techniques have been considered effective technologies in diagnosing an...

An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos.

RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics o...

AsthmaKGxE: An asthma-environment interaction knowledge graph leveraging public databases and scientific literature.

MOTIVATION: Asthma is a complex heterogeneous disease resulting from intricate interactions between ...

Weighted Joint Sentiment-Topic Model for Sentiment Analysis Compared to ALGA: Adaptive Lexicon Learning Using Genetic Algorithm.

Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate t...

Deep learning to distinguish Best vitelliform macular dystrophy (BVMD) from adult-onset vitelliform macular degeneration (AVMD).

Initial stages of Best vitelliform macular dystrophy (BVMD) and adult vitelliform macular dystrophy ...

IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning.

A genetic disorder is a serious disease that affects a large number of individuals around the world....

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

The turn of contemporary visual culture has led to the expansion of the connotation and scope of vis...

Leveraging a Neuroevolutionary Approach for Classifying Violent Behavior in Video.

Security has become a critical issue for complex and expensive systems and day-to-day situations. In...

Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences.

With the presentation of the blueprint of the first human genome in 2001 and the advent of technolog...

Otisma: an integrated application and humanoid robot as an educational tool for children with autism.

Autistic children have difficulty communicating wants, needs, and thoughts. In cases of low function...

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation.

AMPylation is an emerging post-translational modification that occurs on the hydroxyl group of threo...

Development and Application of Two Inducible Expression Systems for Streptococcus suis.

Streptococcus suis is an important zoonotic bacterial pathogen posing a threat to the pig industry a...

Social robots in the instruction of social skills in autism: a comprehensive descriptive analysis of single-case experimental designs.

PURPOSE: The rapid technological advances, the traits of individuals with ASD and their interest in ...

Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities.

Evaluation of the head shape of newborns is needed to detect cranial deformities, disturbances in he...

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