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Artificial intelligence for accurate analysis and detection of autism spectrum disorder

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence for accurate analysis and detection of autism spectrum disorder/ edited by Sandeep Kautish, Gaurav Dhiman.
其他作者:	Kautish, Sandeep.
出版者:	Hershey, Pennsylvania :IGI Global, : 2021.,
面頁冊數:	1 online resource (224 p.)
內容註:	Chapter 1. Application of image processing for autism spectrum disorder -- Chapter 2. A novel neuro-fuzzy system-based autism spectrum disorder -- Chapter 3. A novel technique on autism spectrum disorders using classification techniques -- Chapter 4. A novel automated approach for deep learning on stereotypical autistic motor movements -- Chapter 5. Machine learning techniques for analysing and identifying autism spectrum disorder -- Chapter 6. ML-PASD: predict autismspectrum disorder by machine learning approach -- Chapter 7. Existing assistive techniques for dyslexics: a systematic review -- Chapter 8. Mouse-less cursor control for quadriplegic and autistic patients using artificial intelligence -- Chapter 9. Optimization of machine learning models for early diagnosis of autism spectrum disorder.
標題:	Autism spectrum disorders - Diagnosis. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7460-7
ISBN:	9781799874621 (electronic bk.)

Artificial intelligence for accurate analysis and detection of autism spectrum disorder
Artificial intelligence for accurate analysis and detection of autism spectrum disorder[electronic resource] /edited by Sandeep Kautish, Gaurav Dhiman. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (224 p.)

Includes bibliographical references and index.

Chapter 1. Application of image processing for autism spectrum disorder -- Chapter 2. A novel neuro-fuzzy system-based autism spectrum disorder -- Chapter 3. A novel technique on autism spectrum disorders using classification techniques -- Chapter 4. A novel automated approach for deep learning on stereotypical autistic motor movements -- Chapter 5. Machine learning techniques for analysing and identifying autism spectrum disorder -- Chapter 6. ML-PASD: predict autismspectrum disorder by machine learning approach -- Chapter 7. Existing assistive techniques for dyslexics: a systematic review -- Chapter 8. Mouse-less cursor control for quadriplegic and autistic patients using artificial intelligence -- Chapter 9. Optimization of machine learning models for early diagnosis of autism spectrum disorder.

Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or agebut is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies for patientsas well as to shed light on the other psychiatric conditions often associated with ASD. In addition, it is equally important to understand how to detect ASD in individuals for accurate diagnosing and early detection.

ISBN: 9781799874621 (electronic bk.)

Nat. Bib. Agency Control No.: 020209286UkSubjects--Topical Terms:

1641023
Autism spectrum disorders
--Diagnosis.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RC553.A88 / A78 2021e

Dewey Class. No.: 616.85882075028563

Artificial intelligence for accurate analysis and detection of autism spectrum disorder
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520 3 $a Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or agebut is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies for patientsas well as to shed light on the other psychiatric conditions often associated with ASD. In addition, it is equally important to understand how to detect ASD in individuals for accurate diagnosing and early detection.
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