Surveillance, Prevention, and Control of Infectious Diseases: An AI Perspective (傳染病的監測、預防與控制：人工智慧的視角)
Chowdhury, Muhammad E. H., Kiranyaz, Serkan
相關主題
商品描述
This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases. Authored by leading experts in the field, this book offers a comprehensive overview of the latest advancements, challenges, and applications of AI in combating infectious diseases. With a unique emphasis on big data, wearable data, and computer vision, the book presents original research works that showcase innovative approaches to leveraging AI for disease surveillance, screening, and severity stratification.
Through a combination of review chapters summarizing the current state of the field and novel applications of AI technology, readers gain valuable insights into the potential of AI in addressing major life-threatening infectious diseases identified by the UN Sustainable Development Goal 3. The book's structure ensures a balanced blend of theoretical foundations and practical applications, making it accessible to both researchers and healthcare professionals. By exploring cutting-edge methodologies and case studies, the book equips readers with the knowledge and tools needed to harness the power of AI in the fight against infectious diseases, ultimately contributing to global efforts to improve public health outcomes.
With its interdisciplinary approach and focus on AI-driven solutions, " Surveillance, prevention, and control of infectious diseases: An AI perspective" serves as an invaluable resource for researchers, practitioners, and policymakers seeking to stay abreast of the latest developments in this rapidly evolving field. Whether exploring the role of wearable devices in disease monitoring or examining the potential of computer vision for early detection, this book offers a comprehensive overview of AI applications that have the potential to revolutionize infectious disease management and prevention strategies.
商品描述(中文翻譯)
這是一本開創性的書籍，深入探討人工智慧（AI）與醫療保健的交集，特別專注於傳染病的檢測與預防。由該領域的領先專家撰寫，本書提供了有關AI在對抗傳染病方面的最新進展、挑戰和應用的全面概述。書中獨特地強調大數據、可穿戴數據和計算機視覺，展示了原創研究成果，展現了利用AI進行疾病監測、篩檢和嚴重程度分層的創新方法。
透過綜合回顧章節總結該領域的現狀以及AI技術的新應用，讀者能夠獲得有關AI在解決聯合國可持續發展目標3所識別的主要生命威脅性傳染病方面潛力的寶貴見解。本書的結構確保了理論基礎與實際應用的平衡，使其對研究人員和醫療專業人員均具可及性。透過探索尖端方法論和案例研究，本書使讀者具備利用AI在對抗傳染病中的知識和工具，最終促進全球改善公共健康結果的努力。
憑藉其跨學科的方法和對AI驅動解決方案的關注，《傳染病的監測、預防與控制：AI的視角》成為研究人員、實務工作者和政策制定者尋求了解這一快速發展領域最新動態的寶貴資源。無論是探索可穿戴設備在疾病監測中的角色，還是檢視計算機視覺在早期檢測中的潛力，本書都提供了AI應用的全面概述，這些應用有潛力徹底改變傳染病管理和預防策略。
作者簡介
Muhammad E. H. Chowdhury (Senior Member, IEEE) received his Ph.D. degree from the University of Nottingham, U.K., in 2014. He worked as a Postdoctoral Research Fellow at the Sir Peter Mansfield Imaging Centre, University of Nottingham. He is currently working as an Assistant Professor and program coordinator of the Department of Electrical Engineering, Qatar University. He has filed several patents and published 200+ peer-reviewed journal articles, 30+ conference papers, and several book chapters. His current research interests include biomedical instrumentation, signal processing, wearable sensors, medical image analysis, machine learning and computer vision, embedded system design, and simultaneous EEG/fMRI. He is currently running NPRP, UREP, and HSREP grants from Qatar National Research Fund (QNRF) and internal grants (IRCC and HIG) from Qatar University along with academic projects from HBKU and HMC. He is a Senior Member of IEEE. He has served as Guest Editor for Polymers, an Associate Editor for IEEE Access and a Topic Editor and Review Editor for Frontiers in Neuroscience. He has won the COVID-19 Dataset Award, AHS Award from HMC and National AI Competition awards for his contribution to the fight against COVID-19. His team is the gold-medalist in the 13th International Invention Fair in the Middle East (IIFME). He has been listed among the Top 2% of scientists in the World List, published by Stanford University.
Serkan Kiranyaz (Senior Member, IEEE) was born in Türkiye in 1972. He received the B.S. and M.S. degrees in signal processing and machine learning from Electrical and Electronics Department, Bilkent University, Ankara, Türkiye, in 1994 and 1996, respectively, and the Ph.D. degree in signal processing and Docency degree in signal processing and machine learning from the Institute of Signal Processing, Tampere University of Technology, Tampere, Finland, in 2005 and 2007, respectively. From 2009 to 2015, he was a Professor with Signal Processing Department, Tampere University of Technology. He is currently a Professor with Qatar University, Doha, Qatar. He has noteworthy expertise and background in various signal processing domains. He is rigorously aiming for reinventing the ways in novel signal processing paradigms, enriching them with new approaches, especially in machine intelligence, and revolutionizing the means of "learn-to-process" signals. He made significant contributions to bio-signal analysis, particularly EEG and ECG analysis and processing, classification and segmentation, computer vision with applications to recognition, classification, multimedia retrieval, evolving systems and evolutionary machine learning, swarm intelligence and evolutionary optimization. He has authored or coauthored two books, seven book chapters, ten patents/applications, more than 100 journal articles in several IEEE transactions and other high-impact journals, and more than 120 papers in international conferences. His research interests include learning and signal processing. Dr. Kiranyaz was a PI and LPI in several national and international projects.
作者簡介(中文翻譯)
穆罕默德·E·H·喬杜里（Senior Member, IEEE）於2014年獲得英國諾丁漢大學的博士學位。他曾在諾丁漢大學的彼得·曼斯菲爾德影像中心擔任博士後研究員。目前，他是卡塔爾大學電機工程系的助理教授及課程協調員。他已申請多項專利，並發表了200多篇經過同行評審的期刊文章、30多篇會議論文及數篇書籍章節。他目前的研究興趣包括生醫儀器、信號處理、可穿戴感測器、醫學影像分析、機器學習與計算機視覺、嵌入式系統設計及同時進行的腦電圖（EEG）/功能性磁共振成像（fMRI）。他目前正在執行來自卡塔爾國家研究基金（QNRF）的NPRP、UREP和HSREP補助，以及來自卡塔爾大學的內部補助（IRCC和HIG），並參與HBKU和HMC的學術項目。他是IEEE的資深會員，曾擔任《Polymers》的客座編輯、《IEEE Access》的副編輯，以及《Frontiers in Neuroscience》的主題編輯和審稿編輯。他因在抗擊COVID-19方面的貢獻而獲得COVID-19數據集獎、HMC的AHS獎及全國人工智慧競賽獎項。他的團隊在第13屆中東國際發明博覽會（IIFME）中獲得金牌。他被斯坦福大學列入全球前2%的科學家名單。
塞爾坎·基拉尼亞茲（Senior Member, IEEE）於1972年出生於土耳其。他於1994年和1996年分別在土耳其安卡拉的比爾肯特大學電氣與電子系獲得信號處理和機器學習的學士及碩士學位，並於2005年和2007年在芬蘭坦佩雷科技大學信號處理研究所獲得信號處理的博士學位及信號處理和機器學習的講師學位。從2009年到2015年，他在坦佩雷科技大學的信號處理系擔任教授。目前，他是卡塔爾多哈的卡塔爾大學教授。他在各種信號處理領域擁有顯著的專業知識和背景。他致力於重新發明新型信號處理範式，並用新方法豐富它們，特別是在機器智能方面，並革新“學習處理”信號的方式。他在生物信號分析方面做出了重要貢獻，特別是在腦電圖（EEG）和心電圖（ECG）的分析與處理、分類與分割、計算機視覺應用於識別、分類、多媒體檢索、演變系統和演化機器學習、群體智能及演化優化等方面。他已撰寫或共同撰寫兩本書、七個書籍章節、十項專利/申請、超過100篇在多個IEEE交易及其他高影響力期刊上的期刊文章，以及超過120篇國際會議論文。他的研究興趣包括學習和信號處理。基拉尼亞茲博士曾在多個國內外項目中擔任主要研究者（PI）和聯合主要研究者（LPI）。
