Latest AI and machine learning research in autism for healthcare professionals.
This survey presents the most relevant neural network models of autism spectrum disorder and schizop...
Machine learning methods show promise to translate univariate biomarker findings into clinically use...
Treating patients with major depressive disorder is challenging because it takes several months for ...
The development of the next-generation sequencing (NGS) technologies has led to massive amounts of V...
There have been several empirical studies addressing breast cancer using machine learning and soft c...
As a large amount of genetic data are accumulated, an effective analytical method and a significant ...
BACKGROUND: Children with autism spectrum disorder (ASD) have deficits in their narrative skills and...
The identification of autistic individuals using resting state functional connectivity networks can ...
Tumor subclass detection and diagnosis is inevitable requirement for personalized medical treatment ...
OBJECTIVE: The Centers for Disease Control and Prevention (CDC) coordinates a labor-intensive proces...
We propose a method for automatic segmentation of individual muscles from a clinical CT. The method ...
Considering the unsatisfactory classification accuracy of autism due to unsuitable features selected...
BACKGROUND: Multi-view data representation learning explores the relationship between the views and ...
Assisted therapy is increasingly used in autism spectrum disorders (ASD) for improving social intera...
BACKGROUND AND OBJECTIVES: Children with autism spectrum disorder (ASD) experience challenges with s...
Neuroimaging and genetic biomarkers have been widely studied from discriminative perspectives toward...
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, a...
Pattern classification and stratification approaches have increasingly been used in research on Auti...
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...
BACKGROUND: Our understanding of polyploid genomes is limited by our inability to definitively assig...
. In a previous study, we showed a new EEG processing methodology called Multi-Scale Ranked Organizi...