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Impact of Machine Learning and Deep Learning Techniques in Autism
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Author(s): Megha Bhushan (DIT University, India), Maanas Singal (DIT University, India)and Arun Negi (Deliotte USI, India)
Copyright: 2024
Pages: 21
Source title:
Future of AI in Medical Imaging
Source Author(s)/Editor(s): Avinash Kumar Sharma (Sharda University, India), Nitin Chanderwal (University of Cincinnati, USA), Shobhit Tyagi (Sharda University, India)and Prashant Upadhyay (Sharda University, India)
DOI: 10.4018/979-8-3693-2359-5.ch008
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Abstract
Autism spectrum disorder (ASD) is a behavioural and developmental illness caused by brain abnormalities. Individuals with ASD have difficulty with limited or repeated acts, as well as social communication and participation. Additionally, people with ASD may learn, move, or pay attention in various ways. It should be remembered that some individuals without ASD may also experience some of these symptoms. However, these traits may render life very difficult for those with ASD. Since the trend of machine learning (ML) and deep learning (DL) techniques has been on an onset in every domain, the same is being actively utilized for diagnosis and treatment of this aliment. This chapter provides an in-depth insight into the efforts of researchers on diverse crowd for development and implementation of ML/DL models to assist the ailing individual along with their families and health caregivers. It provides the review of existing works in diverse directions in focus with ASD like prediction, segregation, correlation, etc. between parameters which would help the medical professionals.
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