Artificial Intelligence in Detecting Autism
Language: English
Published by Taylor & Francis Ltd (Sales) Jun 2026, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 309.30
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Add to basketItem description from seller
Neuware - The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.The book discusses the use of AI in detecting autism spectrum disorder (ASD). AI analyses behavioral patterns, speech, and cognitive responses. Machine learning algorithms are used to identify potential markers of ASD. AI can process vast amounts of data, including social interactions, facial expressions, and language nuances to help arrive at a diagnosis that would otherwise not be possible. AI-driven tools like natural language processing, computer vision, and predictive analytics provide objective assessments. These assessments complement traditional diagnostic methods, offer more accurate and efficient evaluations. Further, AI assists data analysis models in identifying unnoticeable behavioral signals that might normally escape detection by human observation, enhancing the precision of ASD diagnosis. Covering AI applications in detection, diagnosis, and life support, the book highlights how technology is reshaping autism care and research.Key Features: - Investigates recent research on AI based autism diagnosis models - Explores various ML models for diagnosis using behaviour analysis, speech analysis - Reviews various AI models for clinical data analysis - Investigates early prediction tools - Explores tools for assisting and parental care.…
Seller Inventory # 9781032866536
- Title
- Artificial Intelligence in Detecting Autism
- Author
- Ram Kumar Chenthur Pandian
- Publisher
- Taylor & Francis Ltd (Sales) Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1032866535
- ISBN 13
- 9781032866536
- Item weight
- 739 grams
- Dimensions
- 254x178x18 mm
The integration of AI in detecting autism holds promise for early intervention, personalized treatment plans, enhanced accuracy, and improved outcomes for individuals on the autism spectrum.
The book discusses the use of AI in detecting autism spectrum disorder (ASD). AI analyses behavioral patterns, speech, and cognitive responses. Machine learning algorithms are used to identify potential markers of ASD. AI can process vast amounts of data, including social interactions, facial expressions, and language nuances to help arrive at a diagnosis that would otherwise not be possible. AI-driven tools like natural language processing, computer vision, and predictive analytics provide objective assessments. These assessments complement traditional diagnostic methods, offer more accurate and efficient evaluations. Further, AI assists data analysis models in identifying unnoticeable behavioral signals that might normally escape detection by human observation, enhancing the precision of ASD diagnosis. Covering AI applications in detection, diagnosis, and life support, the book highlights how technology is reshaping autism care and research.
Key Features:
- Investigates recent research on AI based autism diagnosis models
- Explores various ML models for diagnosis using behaviour analysis, speech analysis
- Reviews various AI models for clinical data analysis
- Investigates early prediction tools
- Explores tools for assisting and parental care
"Synopsis" may belong to another edition of this title.
About the Author
Ram Kumar Chenthur Pandian is the Director IQAC and Professor ECE at Sri Krishna College of Technology (An Autonomous Institution), Coimbatore since 2023. He has over 10 years of teaching and research experience in department of BME, Dr NGP Institute of Technology, Coimbatore, India (2016 to 2023) and prior to that, he was with SNS College of Engineering. He was a visiting faculty at Anna University, Coimbatore. He completed his UG degree in ECE at SRM Easwari Engineering College, Chennai in 2010 and PG degree in Communication System at Sri Krishna College of Engineering and Technology, Coimbatore in the year 2012, PhD in Wireless Sensor networks at Anna University in 2017. His experience includes quality assurance, patent analyst, innovation culture, international collaborations, and audit. His interests include Sensor Networks, Biomedical Instrumentation, Digital Electronics and AI in Wearable Devices. He has published 6 books, around 80 papers in national and international conference proceedings, and almost 50 papers in major journals. He has filed a patent in wireless sensor networks.
Shanmuga Raju Sekar is an Assistant Professor in the Department of Computer Science and Engineering (IoT) at Sri Krishna College of Technology. He holds a Bachelor of Engineering in Electronics and Communication Engineering and a Master of Engineering in VLSI Design, both from Anna University. With over a decade of teaching and research experience, Shanmuga Raju specializes in AI in healthcare, VLSI design, IoT applications, and cyber physical systems. He has contributed to developing innovative methods in power and delay-optimized VLSI implementations and has explored applying AI techniques in system design. Shanmuga Raju has published extensively in reputed journals and is actively involved in guiding students in interdisciplinary research. His current research interests include IoT-enabled systems, data analytics and system design.
Subrata Chowdhury is an Associate Professor in the Department of the Computer Science of Engineering of Sreenivasa Institute of Technology and Management. He is been working in the IT Industry for more than 5 years in the R&D developments, and has handled many projects in the industry. He has handled projects related to AI, Blockchains and the Cloud Computing for many global clients. He has authored 4 books and edited 2 volumes with acclaimed publishers. He has participated in the Organizing committee, Technical Programmed Committee and Guest Speaker for more than 10 conference and the webinars. He has also reviewed and evaluated more than 50 papers from the conferences, journals, book chapters and scientific articles in AI, Data Science, IoT, Blockchain and Cloud Computing for acclaimed publishers. He is the Associate Editor for the Journal of Engineering and other journals. He has taken parts in the Workshops, Webinars, FDPs. He has published more than 30 papers and copyrights and patents. He has been awarded by various science societies for his contributions in the R&D.
Muhammad Rukunuddin Ghalib is a highly accomplished professional with a strong educational background and extensive experience in academia and research. He holds a Bachelor's, Master's, and PhD in Computer Engineering from Anna University in India. Dr. Ghalib has been associated with renowned institutions such as Vellore Institute of Technology (VIT) University and Anna University in India. At VIT, he was Assistant Director, International Relations, where he played a role in establishing academic and research collaborations with universities in Oceania countries, primarily in Australia and New Zealand, as well as several European institutions. His expertise extends to working on Erasmus+ Staff and Student exchange programs. He currently holds the position of Associate Professor at De Montfort University (DMU), Dubai, an off-campus branch of De Montfort University (DMU) Leicester, UK. He has published over 70 peer-reviewed research articles, spanning SCI and Scopus indexed journals, as well as contributions to book chapters and numerous conference proceedings.
Dr. Ghalib is an active IEEE senior member from the R10 region. Additionally, he holds memberships/life memberships in professional societies. His has forged partnerships with researchers across various domains, with a focus on healthcare. Dr. Ghalib's research interests encompass Data Science Technology, Cyber Security, IoT & Bioinformatics, Machine Learning, and Artificial Intelligence.
Dr. Kassian T.T. AMESHO is an accomplished and globally recognized professional known for his expertise as an analyst and researcher. With a track record of successfully resolving complex problems, he brings valuable insights and solutions to diverse challenges. Driven by a commitment to excellence, he thrives in demanding roles, both domestically and internationally, collaborating effectively with multidisciplinary teams to achieve shared objectives. Dr. AMESHO holds two PhDs, one in Environmental Engineering and another in Business Administration, with a focus on technology and innovation management for competitive advantage. His PhD in Environmental Engineering emphasized sustainability science and engineering. With over 40 scientific articles, more than 20 international conference presentations, and 5 book chapters, he has contributed significantly to the body of knowledge in his field. Currently, Dr. AMESHO serves as a senior research fellow at the INRAE - French National Research Institute for Agriculture, Food and Environment, in the division of Agropolymer Engineering and Emerging Technologies (IATE). In addition, he is a distinguished book editor, contributing to the advancement of research and knowledge dissemination.
"About the title" may belong to another edition of this title.
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