[HTML][HTML] Validation strategies for subtypes in psychiatry: A systematic review of research on autism spectrum disorder
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 …
biological and psychological research, as well as clinical practice. To reduce unexplained …
Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry
P Washington, N Park, P Srivastava, C Voss… - Biological Psychiatry …, 2020 - Elsevier
Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …
classification. Digital technologies enable the collection of big data, and advances in …
Building a Smart System for Preservation of Government Records in Digital Form
AI Shaban, MA Farhan… - … International Congress on …, 2022 - ieeexplore.ieee.org
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 …
preservation of Government of Iraq records in digital format. In literature, many existing …
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
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 …
identifying the patient cohort under investigation. In many cases, the most valuable and …
Applications of unsupervised machine learning in autism spectrum disorder research: a review
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 …
centers, and mobile applications; however, much of this rich data does not have pre-existing …
Autism spectrum disorder: Incidence and time trends over two decades in a population-based birth cohort
SM Myers, RG Voigt, RC Colligan, AL Weaver… - Journal of autism and …, 2019 - Springer
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 …
individuals in a population-based birth cohort based on signs and symptoms uniformly …
The use of electronic health records for psychiatric phenotyping and genomics
JW Smoller - American Journal of Medical Genetics Part B …, 2018 - Wiley Online Library
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 …
created a vast and continuously growing resource of clinical data and provides new …
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
Abstract Intellectual and Developmental Disabilities (IDDs), such as Down syndrome,
Fragile X syndrome, Rett syndrome, and autism spectrum disorder, usually manifest at birth …
Fragile X syndrome, Rett syndrome, and autism spectrum disorder, usually manifest at birth …
Predictive value of early autism detection models based on electronic health record data collected before age 1 year
Importance Autism detection early in childhood is critical to ensure that autistic children and
their families have access to early behavioral support. Early correlates of autism …
their families have access to early behavioral support. Early correlates of autism …
A review of automatic phenotyping approaches using electronic health records
Electronic Health Records (EHR) are a rich repository of valuable clinical information that
exist in primary and secondary care databases. In order to utilize EHRs for medical …
exist in primary and secondary care databases. In order to utilize EHRs for medical …