東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Artificial intelligence for accurate analysis and detection of autism spectrum disorder

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for accurate analysis and detection of autism spectrum disorder/ edited by Sandeep Kautish, Gaurav Dhiman.
other author:	Kautish, Sandeep.
Published:	Hershey, Pennsylvania :IGI Global, : 2021.,
Description:	1 online resource (224 p.)
[NT 15003449]:	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.
Subject:	Autism spectrum disorders - Diagnosis. -
Online resource:	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
LDR:02712nmm a2200277 a 4500 001 2339055
006 m d
007 cr nn muauu
008 240607s2021 pau fob 000 0 eng d
016 7 $a 020209286 $2 Uk
020 $a 9781799874621 (electronic bk.)
020 $a 9781799874607 $q hbk.
020 $a 1799874605
035 $a (CaBNVSL)slc00001718
035 $a (OCoLC)1264093288
035 $a 00264137
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a RC553.A88 $b A78 2021e
082 0 4 $a 616.85882075028563 $2 23
245 0 0 $a Artificial intelligence for accurate analysis and detection of autism spectrum disorder $h [electronic resource] / $c edited by Sandeep Kautish, Gaurav Dhiman.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021.
300 $a 1 online resource (224 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
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.
650 0 $a Autism spectrum disorders $x Diagnosis. $3 1641023
650 0 $a Artificial intelligence $x Medical applications. $3 900591
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Kautish, Sandeep. $3 3494428
700 1 $a Dhiman, Gaurav. $3 3174423
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7460-7