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   How accurate are ASD patient datasets?

   • Four different ASD patient datasets, each containing more than 600 records of effected children and adults have been obtained from different repository for features extraction. The proposed model predicted ASD with 98% accuracy (in children) and 81% accuracy (in adults).

   Detection of autism spectrum disorder (ASD) in children and adults

   www.nature.com/articles/s41598-023-35910-1

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   What is autism spectrum disorder (ASD)?

   • Autism spectrum disorder (ASD) presents a neurological and developmental disorder that has an impact on the social and cognitive skills of children causing repetitive behaviours, restricted interests, communication problems and difficulty in social interaction. Early diagnosis of ASD can prevent from its severity and prolonged effects.

   Detection of autism spectrum disorder (ASD) in children and adults

   www.nature.com/articles/s41598-023-35910-1

   See all results for this question

   What is the autism distribution v14.3?

   • The Autism (AU) Distribution v14.3 was published on 2021-11-10. There are 22241 subjects, 19338 of whom have at least one biospecimen on record at the repository. The AU collection includes 25 family studies, one or more of which include families that are large and/or multigenerational.

   Autism | Download Data | NRGR

   www.nimhgenetics.org/download-tool/AU

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2. www.nature.com › articles › s41598/023/35910-1Detection of autism spectrum disorder (ASD) in children and ...

   www.nature.com › articles › s41598/023/35910-1

   Jun 13, 2023 · Four different ASD patient datasets, each containing more than 600 records of effected children and adults have been obtained from different repository for features extraction. The proposed model...

3. www.nimhgenetics.org › download-tool › AUAutism | Download Data | NRGR

   www.nimhgenetics.org › download-tool › AU

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   Nov 10, 2021 · Standard Data & Documentation. Download All. Distribution Bundle [ text or excel ]: Standard files across disorders, containing demographic, diagnostic, and pedigree information. Sampled (formerly IBX) sample IDs (nrgr_bio_id) and consent level are also provided. Bundle includes data dictionaries.

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5. github.com › topics › autism-spectrum-disorderautism-spectrum-disorder · GitHub Topics · GitHub

   github.com › topics › autism-spectrum-disorder

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   This script automates the download of preprocessed brain imaging data from the ABIDE dataset, focusing on a specific derivative, preprocessing pipeline, and noise-removal strategy. It filters participants by diagnosis (autism or controls) and downloads relevant data, streamlining research on autism spectrum disorder.

6. catalog.data.gov › dataset › national-database-forNational Database for Autism Research (NDAR) - Catalog

   catalog.data.gov › dataset › national-database-for

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   Jul 26, 2023 · National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for autism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.).

   • Publish Year: 2017
   • Metadata Created Date: November 10, 2020

   • Email: Farber, Greg
   • Metadata Updated Date: July 26, 2023

7. www.kaggle.com › datasets › faizunnabiAutism Screening | Kaggle

   www.kaggle.com › datasets › faizunnabi

   Classifying autistic patients based upon the screening results.

8. link.springer.com › article › 10Detection of Autism Spectrum Disorder in Children Using ...

   link.springer.com › article › 10

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   Jul 22, 2021 · Autism Spectrum Disorder (ASD) is a neurological disorder which might have a lifelong impact on the language learning, speech, cognitive, and social skills of an individual.

9. ieeexplore.ieee.org › document › 10295648Autism Spectrum Disorder Detection using Autistic Image Dataset

   ieeexplore.ieee.org › document › 10295648

   Abstract: Autism spectrum disorders (ASD) are neurodevelopmental disorders that are marked by enduring difficulties with speech, nonverbal communication, and restricted or repetitive behaviors. Early detection and intervention can greatly improve outcomes for people with ASD.