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Impact of Machine Learning and Deep Learning Techniques in Autism

Impact of Machine Learning and Deep Learning Techniques in Autism

Megha Bhushan, Maanas Singal, Arun Negi
Copyright: © 2024 |Pages: 21
ISBN13: 9798369323595|EISBN13: 9798369323601
DOI: 10.4018/979-8-3693-2359-5.ch008
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MLA

Bhushan, Megha, et al. "Impact of Machine Learning and Deep Learning Techniques in Autism." Future of AI in Medical Imaging, edited by Avinash Kumar Sharma, et al., IGI Global, 2024, pp. 116-136. https://doi.org/10.4018/979-8-3693-2359-5.ch008

APA

Bhushan, M., Singal, M., & Negi, A. (2024). Impact of Machine Learning and Deep Learning Techniques in Autism. In A. Sharma, N. Chanderwal, S. Tyagi, & P. Upadhyay (Eds.), Future of AI in Medical Imaging (pp. 116-136). IGI Global. https://doi.org/10.4018/979-8-3693-2359-5.ch008

Chicago

Bhushan, Megha, Maanas Singal, and Arun Negi. "Impact of Machine Learning and Deep Learning Techniques in Autism." In Future of AI in Medical Imaging, edited by Avinash Kumar Sharma, et al., 116-136. Hershey, PA: IGI Global, 2024. https://doi.org/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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