Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders
暫譯: 神經疾病診斷的計算智能演算法
Kumar, S. N., Zafar, Sherin, Naaz, Sameena
- 出版商: CRC
- 出版日期: 2025-08-06
- 售價: $5,650
- 貴賓價: 9.5 折 $5,368
- 語言: 英文
- 頁數: 336
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032858907
- ISBN-13: 9781032858906
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相關分類:
Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth.
Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information.
This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.
商品描述(中文翻譯)
這本書深入探討人工智慧 (AI) 和機器學習 (ML) 在診斷和管理神經疾病方面的變革潛力，並且涵蓋了各種方法論、演算法和應用的詳細內容。
《計算智能演算法在神經疾病診斷中的應用》使讀者全面了解計算智能如何賦能醫療專業人員，幫助他們對抗神經疾病。通過實際範例和清晰的解釋，本書探討了這些技術的多樣應用，展示了它們分析複雜醫療數據、識別微妙模式的能力，並促進更準確和高效的診斷工具的發展。作者深入探討了 AI 驅動的演算法的激動人心的可能性，研究它們分析各種數據來源的能力，如神經影像掃描、基因資訊和認知評估。他們還檢視了 ML 在模式識別領域的應用，使得早期疾病標記的識別成為可能，並促進及時干預。最後，作者也討論了數據隱私和安全的關鍵挑戰，強調需要建立健全的倫理框架來保護敏感的病人資訊。
本書旨在激發研究人員、臨床醫生和技術專家之間的對話與合作，並將協助放射科醫生和神經科醫生以更高的準確性進行精確診斷。
作者簡介
S. N. Kumar received his B.E. degree from the Department of Electrical and Electronics Engineering, Sun College of Engineering and Technology, in 2007, his M.E. degree in applied electronics from the Anna University of Technology, Tirunelveli, and his Ph.D. degree from the Sathyabama Institute of Science and Technology in 2019. He is currently an Associate Professor with the Department of Electrical and Electronics Engineering, Amal Jyothi College of Engineering, Kanjirappally, and his research areas include medical image processing and embedded systems.
Sherin Zafar is an Assistant Professor of Computer Science and Engineering at the School of Engineering Sciences and Technology, Jamia Hamdard University, with a decade of successful experience in teaching and research management. She specializes in wireless networks, soft computing, and network security.
Sameena Naaz is a Senior Lecturer at the Department of Computer Science, School of Arts, Humanities and Social Sciences at the University of Roehampton, London, UK, with more than 22 years of experience. She received her M.Tech. degree in Electronics with Specialization in Communication and Information Systems from Aligarh Muslim University in 2000 and completed her Ph.D. from Jamia Hamdard in the field of distributed systems in 2014. Her research interests include distributed systems, cloud computing, big data, machine learning, data mining, and image processing.
作者簡介(中文翻譯)
S. N. Kumar 於 2007 年獲得了來自 Sun College of Engineering and Technology 電機與電子工程系的工學士學位，隨後在 Tirunelveli 的 Anna University of Technology 獲得應用電子學的碩士學位，並於 2019 年在 Sathyabama Institute of Science and Technology 獲得博士學位。他目前是 Amal Jyothi College of Engineering 電機與電子工程系的副教授，研究領域包括醫學影像處理和嵌入式系統。
Sherin Zafar 是 Jamia Hamdard University 工程科學與技術學院的計算機科學與工程助理教授，擁有十年的成功教學和研究管理經驗。她專注於無線網絡、軟計算和網絡安全。
Sameena Naaz 是英國倫敦 Roehampton 大學藝術、人文與社會科學學院計算機科學系的高級講師，擁有超過 22 年的經驗。她於 2000 年在 Aligarh Muslim University 獲得電子學碩士學位，專攻通信與信息系統，並於 2014 年在 Jamia Hamdard 完成分散式系統的博士學位。她的研究興趣包括分散式系統、雲計算、大數據、機器學習、數據挖掘和影像處理。
