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 …

In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …

In this research paper, we concentrated on the development of a smart system for the
preservation of Government of Iraq records in digital format. In literature, many existing …

Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …

Abstract Intellectual and Developmental Disabilities (IDDs), such as Down syndrome,
Fragile X syndrome, Rett syndrome, and autism spectrum disorder, usually manifest at birth …

The widespread adoption of electronic health record (EHRs) in healthcare systems has
created a vast and continuously growing resource of clinical data and provides new …

Abstract Machine learning is becoming increasingly popular in the neuroscientific literature.
However, navigating the literature can easily become overwhelming, especially for the …

We retrospectively identified autism spectrum disorder (ASD) incident cases among 31,220
individuals in a population-based birth cohort based on signs and symptoms uniformly …

Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …