Artificial Intelligence in Detecting Autism
暫譯: 人工智慧在自閉症檢測中的應用

Kumar Chenthur Pandian, Ram, Raju Sekar, Shanmuga, Chowdhury, Subrata

  • 出版商: CRC
  • 出版日期: 2026-06-02
  • 售價: $5,290
  • 貴賓價: 9.5$5,025
  • 語言: 英文
  • 頁數: 294
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032866535
  • ISBN-13: 9781032866536
  • 相關分類: Machine Learning
  • 尚未上市,無法訂購

相關主題

商品描述

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

商品描述(中文翻譯)

人工智慧在自閉症檢測中的整合為早期介入、個性化治療計劃、提高準確性以及改善自閉症譜系個體的結果帶來了希望。

本書討論了人工智慧在自閉症譜系障礙(ASD)檢測中的應用。人工智慧分析行為模式、語音和認知反應。機器學習算法被用來識別ASD的潛在標記。人工智慧能夠處理大量數據,包括社交互動、面部表情和語言細微差別,以幫助達成本來無法診斷的結果。像自然語言處理、計算機視覺和預測分析等人工智慧驅動的工具提供了客觀的評估。這些評估補充了傳統的診斷方法,提供了更準確和高效的評估。此外,人工智慧協助數據分析模型識別那些通常會被人類觀察忽略的微妙行為信號,從而提高ASD診斷的精確性。本書涵蓋了人工智慧在檢測、診斷和生活支持中的應用,突顯了科技如何重塑自閉症的護理和研究。

主要特點:

  • 調查基於人工智慧的自閉症診斷模型的最新研究
  • 探索使用行為分析和語音分析的各種機器學習模型進行診斷
  • 回顧各種人工智慧模型在臨床數據分析中的應用
  • 調查早期預測工具
  • 探索協助和父母護理的工具

作者簡介

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.

作者簡介(中文翻譯)

**Ram Kumar Chenthur Pandian** 是斯里克里希納科技學院(Sri Krishna College of Technology,自治機構)質量保證委員會主任及電子與通訊工程系教授,自2023年起任職。他在印度科印巴多的Dr NGP Institute of Technology生物醫學工程系擁有超過10年的教學和研究經驗(2016年至2023年),在此之前,他曾在SNS工程學院任職。他曾擔任科印巴多安娜大學的訪問教授。他於2010年在金奈的SRM Easwari工程學院獲得電子與通訊工程學士學位,2012年在科印巴多的斯里克里希納工程與技術學院獲得通訊系碩士學位,並於2017年在安娜大學獲得無線感測網路的博士學位。他的經驗包括質量保證、專利分析、創新文化、國際合作和審計。他的研究興趣包括感測網路、生物醫學儀器、數位電子學及可穿戴設備中的人工智慧。他已出版6本書籍,發表約80篇國內外會議論文,以及近50篇主要期刊論文。他已在無線感測網路領域申請專利。

**Shanmuga Raju Sekar** 是斯里克里希納科技學院計算機科學與工程系(物聯網)的助理教授。他擁有安娜大學的電子與通訊工程學士學位及VLSI設計碩士學位。擁有超過十年的教學和研究經驗,Shanmuga Raju專注於醫療保健中的人工智慧、VLSI設計、物聯網應用及網路物理系統。他在電源和延遲優化的VLSI實現方面開發了創新方法,並探索了在系統設計中應用人工智慧技術。Shanmuga Raju在知名期刊上發表了大量文章,並積極指導學生進行跨學科研究。他目前的研究興趣包括物聯網啟用系統、數據分析和系統設計。

**Subrata Chowdhury** 是斯里尼瓦薩科技與管理學院計算機科學與工程系的副教授。他在IT行業工作超過5年,專注於研發,並處理過多個行業項目。他負責與多個全球客戶相關的人工智慧、區塊鏈和雲計算項目。他已著作4本書籍並編輯2卷與知名出版社合作的書籍。他參與了超過10個會議的組織委員會、技術程序委員會及擔任嘉賓演講者。他還審查和評估了超過50篇來自會議、期刊、書籍章節及科學文章的論文,涵蓋人工智慧、數據科學、物聯網、區塊鏈和雲計算等領域。他是《工程學期刊》及其他期刊的副編輯,並參加了各種研討會、網路研討會及教學發展計劃。他已發表超過30篇論文及擁有多項著作權和專利。他因在研發方面的貢獻而獲得多個科學社團的獎項。

**Muhammad Rukunuddin Ghalib** 是一位成就卓越的專業人士,擁有堅實的教育背景和廣泛的學術及研究經驗。他在印度安娜大學獲得計算機工程的學士、碩士及博士學位。Ghalib博士曾與印度的知名機構如維洛爾科技學院(VIT)和安娜大學合作。在VIT,他擔任國際關係助理主任,負責與大洋洲國家(主要是澳大利亞和新西蘭)及多個歐洲機構建立學術和研究合作。他的專業知識還包括參與Erasmus+員工和學生交流計劃。他目前在迪拜的德蒙福特大學(DMU)擔任副教授,該校為英國萊斯特的德蒙福特大學的校外分校。他已發表超過70篇同行評審的研究文章,涵蓋SCI和Scopus索引的期刊,以及書籍章節和多個會議論文的貢獻。

Ghalib博士是來自R10區的活躍IEEE高級會員。此外,他還是多個專業社團的會員/終身會員。他與各領域的研究人員建立了合作夥伴關係,專注於醫療保健。Ghalib博士的研究興趣包括數據科學技術、網路安全、物聯網與生物信息學、機器學習及人工智慧。

**Dr. Kassian T.T. AMESHO** 是一位成就卓越且全球知名的專業人士,以其分析師和研究者的專業知識而聞名。他在成功解決複雜問題方面有著良好的記錄,為各種挑戰帶來有價值的見解和解決方案。由於對卓越的承諾,他在國內外的要求高的角色中表現出色,與多學科團隊有效合作以實現共同目標。AMESHO博士擁有兩個博士學位,一個是環境工程,另一個是商業管理,專注於技術和創新管理以獲得競爭優勢。他的環境工程博士學位強調可持續性科學和工程。擁有超過40篇科學文章、20多次國際會議報告及5篇書籍章節,他在其領域的知識體系中做出了重要貢獻。目前,AMESHO博士在法國國家農業、食品和環境研究所(INRAE)擔任高級研究員,專注於農業聚合物工程和新興技術(IATE)部門。此外,他還是一位傑出的書籍編輯,為研究和知識傳播的進步做出貢獻。