Neurology

Autism

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

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Latent space of a small genetic network: Geometry of dynamics and information.

The high-dimensional character of most biological systems presents genuine challenges for modeling a...

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...

High-speed identification system for fresh tea leaves based on phenotypic characteristics utilizing an improved genetic algorithm.

BACKGROUND: High-quality tea requires leaves of similar size and tenderness. The grade of the fresh ...

Systems Drug Discovery for Diffuse Large B Cell Lymphoma Based on Pathogenic Molecular Mechanism via Big Data Mining and Deep Learning Method.

Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtyp...

An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.

Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employ...

Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site.

Optimization of gene expression levels is an essential part of the organism design process. Fine con...

Research on the Multimodal Digital Teaching Quality Data Evaluation Model Based on Fuzzy BP Neural Network.

We propose in this paper a fuzzy BP neural network model and DDAE-SVR deep neural network model to a...

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model.

In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economi...

Big data, machine learning, and population health: predicting cognitive outcomes in childhood.

The application of machine learning (ML) to address population health challenges has received much l...

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm.

Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient by effic...

Research on Image Segmentation Algorithm Based on Multimodal Hierarchical Attention Mechanism and Genetic Neural Network.

Multimodal tasks based on attention mechanism and language face numerous problems. Based on multimod...

An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network.

With the rapid development of computer graphics, 3D animation has been applied to all fields of peop...

Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.

Machine Learning (ML) approaches are increasingly being used in biomedical applications. Important c...

Finite-Time H State Estimation for PDT-Switched Genetic Regulatory Networks With Randomly Occurring Uncertainties.

This article is concerned with the problem of finite-time H state estimation for switched genetic re...

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

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

Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review.

BACKGROUND: Machine learning has been attracting increasing attention for use in healthcare applicat...

Commercial Bank Credit Grading Model Using Genetic Optimization Neural Network and Cluster Analysis.

Commercial banks are facing unprecedented credit risk challenges as the financial market becomes mor...

Innovating Pedagogical Practices for Handmade Courses in Preschool Education Using Artificial Intelligence.

Handmade is an important part of preschool education, which was aimed at improving children's abilit...

A Novel Genetic Neural Network Algorithm with Link Switches and Its Application in University Professional Course Evaluation.

This study exploits a novel enhanced genetic neural network algorithm with link switches (EGA-NNLS) ...

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...

Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks.

In recent years, drug sensitivity prediction has garnered a great deal of attention due to the growi...

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