Statistical Perspectives and Machine Learning Algorithms: Research Analysis of Technological Support for Autism Diagnosis

Statistical Perspectives and Machine Learning Algorithms: Research Analysis of Technological Support for Autism Diagnosis

N. Ajaypradeep, R. Sasikala
Copyright: © 2021 |Pages: 24
DOI: 10.4018/978-1-7998-7053-1.ch016
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Abstract

Autism unlike other diseases has peculiar symptoms and pre-causes. The symptoms and suspicions are found especially in newly born children, preterm born infants, and children below 12 years. These children have peculiar attributes such as inability to communicate with fellow children, poor speech ability, difficulty in dealing with daily routines and procedures and being oversensitive. This study correlates with the existing work on autism diagnosis techniques by using machine learning methodologies. It further provides the summary of the relevant techniques to validate the existence of autism disorder and strategies used for diagnosis. Various diagnostic methods include behavioural analysis, eye tracking, and neural or brain imaging. The key objective of the chapter is to assess and understand the preliminary causes of the autism spectrum disorder, including analyzing technological support that can be rendered for the early diagnosis of autism.
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Objectives

The objective of the current chapter is to conduct literature review of various studies carried out in the area of autism. This chapter further discusses the following:

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    Investigating the background of autism spectrum disorder.

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    Analysing various cognitive methods to diagnose autism in children.

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    Understanding the symptoms and causes of autism.

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    Exploring how technological support can be rendered to the diagnosis of autism by using machine learning techniques.

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    Devising a frame work which can be extended to provide as a tool for early diagnosis of autism.

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Background: Autism Spectrum Disorder

Unlike other diseases or disorders which can be treated with medical drugs, Autism predication and intervention involves different and most complex methods. Autism extends to be as a disorder which has associations to various disabilities in connection to social attention and communication. In general the existence of autism in a person can be found when the child grows up between 3 to 7 years as the studies say theoretically. The existence of autism can be found using one or more of the following symptoms which occurs normally in the child.

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    Depression

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    Learning disability

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    Speech disability

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    Avoiding eye contact

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    Epilepsy

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    Less Social Activity

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