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A Review of Supportive Computational Approaches for Neurological Disorder Identification

A Review of Supportive Computational Approaches for Neurological Disorder Identification
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Author(s): Dulani Meedeniya (University of Moratuwa, Sri Lanka)and Iresha Rubasinghe (University of Moratuwa, Sri Lanka)
Copyright: 2020
Pages: 32
Source title: Interdisciplinary Approaches to Altering Neurodevelopmental Disorders
Source Author(s)/Editor(s): Tanu Wadhera (Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India)and Deepti Kakkar (Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India)
DOI: 10.4018/978-1-7998-3069-6.ch016

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Abstract

At present there is a growth of physical symptoms with psychological overlays, resulting in neurodevelopment disorders, where both psychiatrist and medical specialties work in collaboration to provide optimal care for the patients. Disorders such as autism spectrum disorder, attention-deficit hyperactivity disorder, Down syndrome, cerebral palsy, sickle cell disease, and Alzheimer disease are more prevalent. These may have a genetic influence and give certain behavioural disturbances due to associated medical issues. The symptoms are observable in early childhood, and they may consist of comorbid medical disorders. This chapter addresses recent studies together with the applied techniques in this context. Further, this chapter shows the limitations, challenges in current practices, and possible future research directions.

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