Autism

Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm.

Large worldwide use of chemicals has caused great concern about their possible adverse effects on hu...

Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.

OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuz...

Temporal bone radiology report classification using open source machine learning and natural langue processing libraries.

BACKGROUND: Radiology reports are a rich resource for biomedical research. Prior to utilization, tra...

Supporting Regularized Logistic Regression Privately and Efficiently.

As one of the most popular statistical and machine learning models, logistic regression with regular...

Genomic Prediction for Quantitative Traits Is Improved by Mapping Variants to Gene Ontology Categories in Drosophila melanogaster.

Predicting individual quantitative trait phenotypes from high-resolution genomic polymorphism data i...

Tracking medical genetic literature through machine learning.

There has been remarkable progress in identifying the causes of genetic conditions as well as unders...

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.

Automated design of dispatching rules for production systems has been an interesting research topic ...

Prediction of brain maturity in infants using machine-learning algorithms.

Recent resting-state functional MRI investigations have demonstrated that much of the large-scale fu...

A note on the weight of inverse complexity in improved hybrid genetic algorithm.

An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of ...

Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.

A novel approach to overcome the acidification problem has been attempted in the present study by co...

Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion.

BACKGROUND: Machine learning (ML) provides novel opportunities for human behavior research and clini...

Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations.

Ecological systems are known to exchange genetic material through animal species migration and seed ...

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repe...

Evaluation of the efficiency of artificial neural networks for genetic value prediction.

Artificial neural networks have shown great potential when applied to breeding programs. In this stu...

Deep Learning for Population Genetic Inference.

Given genomic variation data from multiple individuals, computing the likelihood of complex populati...

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection.

This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In t...

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.

OBJECTIVE: Clinical trials investigating drugs that target specific genetic alterations in tumors ar...

Extending unified-theory-of-reinforcement neural networks to steady-state operant behavior.

The unified theory of reinforcement has been used to develop models of behavior over the last 20 yea...

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidi...