Heterogeneity within autism spectrum disorder (ASD) is recognized as a challenge to both
biological and psychological research, as well as clinical practice. To reduce unexplained …

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy
centers, and mobile applications; however, much of this rich data does not have pre-existing …

Abstract Objective Autism Spectrum Disorder (ASD) is acknowledged as a challenge that
influences the learning ability of adolescents and also negatively impacts their families …

Performing network-based analysis on medical and biological data makes a wide variety of
machine learning tools available. Clustering, which can be used for classification, presents …

Abstract Autism Spectrum Disorder (ASD) is a heterogeneous condition that includes a
broad range of characteristics and associated comorbidities; however, the biology …

This paper presents a network science approach to investigate a health information dataset,
the Sexual Acquisition and Transmission of HIV Cooperative Agreement Program …

Autism Spectrum Disorder (ASD) is extremely heterogeneous clinically and genetically.
There is a pressing need for a better understanding of the heterogeneity of ASD based on …

Complex networks have emerged as a powerful framework for understanding and analyzing
musical compositions, revealing underlying structures and dynamics that may not be …

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis
subjects based on their cumulative signs and symptoms. The electronic medical records of …

This paper investigates the genetic correlations between Autism Spectrum Disorder (ASD)
and Gender Dysphoria (GD) using network science techniques applied to data from the …