Artificial intelligence for accurate analysis and detection 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 age but is often noticeable within the first two years of life. If caug...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2021.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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 age but 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 patients as 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. |
| Physical Description: | 19 PDFs (224 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781799874621 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2021. | |
| 300 | |a 19 PDFs (224 Seiten) | ||
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| 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 autism spectrum 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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 age but 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 patients as 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/14/2021). | ||
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 0 | |a Autism spectrum disorders |x Diagnosis. | |
| 650 | 7 | |a Artificial intelligence |x Medical applications. |2 fast | |
| 653 | |a AI-Aided Diagnosis Methods. | ||
| 653 | |a Artificial Intelligence. | ||
| 653 | |a ASD Therapies. | ||
| 653 | |a Autism Spectrum Disorder (ASD) | ||
| 653 | |a Child Development. | ||
| 653 | |a Early Diagnosis of ASD. | ||
| 653 | |a Early Intervention. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Medical Imaging. | ||
| 653 | |a Medical Robotics. | ||
| 653 | |a Predictive Analysis for ASD. | ||
| 700 | 1 | |a Dhiman, Gaurav |d 1993- |e editor. | |
| 700 | 1 | |a Kautish, Sandeep |d 1981- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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Record in the Search Index
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| contents | 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 autism spectrum 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. |
| ctrlnum | (CaBNVSL)slc00001718 (OCoLC)1264093288 |
| dewey-full | 616.85882075028563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
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| id | ZDB-98-IGB-00264137 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:34Z |
| institution | BVB |
| isbn | 9781799874621 |
| language | English |
| oclc_num | 1264093288 |
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| physical | 19 PDFs (224 Seiten) Also available in print. |
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| publishDate | 2021 |
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| spelling | Artificial intelligence for accurate analysis and detection of autism spectrum disorder edited by Sandeep Kautish, Gaurav Dhiman. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2021. 19 PDFs (224 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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 autism spectrum 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. Restricted to subscribers or individual electronic text purchasers. 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 age but 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 patients as 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/14/2021). Artificial intelligence Medical applications. Autism spectrum disorders Diagnosis. Artificial intelligence Medical applications. fast AI-Aided Diagnosis Methods. Artificial Intelligence. ASD Therapies. Autism Spectrum Disorder (ASD) Child Development. Early Diagnosis of ASD. Early Intervention. Machine Learning. Medical Imaging. Medical Robotics. Predictive Analysis for ASD. Dhiman, Gaurav 1993- editor. Kautish, Sandeep 1981- editor. IGI Global, publisher. Print version: 1799874605 9781799874607 |
| spellingShingle | Artificial intelligence for accurate analysis and detection of autism spectrum disorder 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 autism spectrum 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. Artificial intelligence Medical applications. Autism spectrum disorders Diagnosis. Artificial intelligence Medical applications. fast |
| title | Artificial intelligence for accurate analysis and detection of autism spectrum disorder |
| title_auth | Artificial intelligence for accurate analysis and detection of autism spectrum disorder |
| title_exact_search | Artificial intelligence for accurate analysis and detection of autism spectrum disorder |
| title_full | Artificial intelligence for accurate analysis and detection of autism spectrum disorder edited by Sandeep Kautish, Gaurav Dhiman. |
| title_fullStr | Artificial intelligence for accurate analysis and detection of autism spectrum disorder edited by Sandeep Kautish, Gaurav Dhiman. |
| title_full_unstemmed | Artificial intelligence for accurate analysis and detection of autism spectrum disorder edited by Sandeep Kautish, Gaurav Dhiman. |
| title_short | Artificial intelligence for accurate analysis and detection of autism spectrum disorder |
| title_sort | artificial intelligence for accurate analysis and detection of autism spectrum disorder |
| topic | Artificial intelligence Medical applications. Autism spectrum disorders Diagnosis. Artificial intelligence Medical applications. fast |
| topic_facet | Artificial intelligence Medical applications. Autism spectrum disorders Diagnosis. |
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