Autism Detection using pre-trained models in Machine Learning

Ensuring high accuracy while working with diseases, such as Autism Spectrum Disorder (ASD), is crucial. ASD brings developmental disability to the brain and is also associated with genetic conditions. Some causes of ASD are known, while others are still unknown. Patients with ASD exhibit different behavior, communication, interaction, and learning styles compared to ordinary people.While some patients can live and work like ordinary people without any support, many patients require assistance from others to live their life. Somepatients may have advanced conversation skills, while others may be nonverbal.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-07
DOI
https://doi.org/10.5281/zenodo.14829985
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Autism Detection using pre-trained models in Machine Learning

Zenodo (CERN European Organization for Nuclear Research)
Autism Spectrum Disorder Research
article

Autism Detection using pre-trained models in Machine Learning

article en

Abstract

Ensuring high accuracy while working with diseases, such as Autism Spectrum Disorder (ASD), is crucial. ASD brings developmental disability to the brain and is also associated with genetic conditions. Some causes of ASD are known, while others are still unknown. Patients with ASD exhibit different behavior, communication, interaction, and learning styles compared to ordinary people.While some patients can live and work like ordinary people without any support, many patients require assistance from others to live their life. Somepatients may have advanced conversation skills, while others may be nonverbal.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 48%
Autism Spectrum Disorder Research
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Autism Detection using pre-trained models in Machine Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS