Data Science and Artificial Intelligence for Digital Healthcare: Communications Technologies for Epidemic Models
暫譯: 數據科學與人工智慧在數位醫療中的應用:流行病模型的通訊技術

Singh, Pradeep Kumar, Trovati, Marcello, Murtagh, Fionn

  • 出版商: Springer
  • 出版日期: 2024-08-25
  • 售價: $7,920
  • 貴賓價: 9.5$7,524
  • 語言: 英文
  • 頁數: 390
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031568176
  • ISBN-13: 9783031568176
  • 相關分類: 人工智慧Data Science
  • 海外代購書籍(需單獨結帳)

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商品描述

This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence. The authors discuss how data science, AI, and mobile technologies provide the fundamental backbone to digital healthcare, presenting each technology separately as well covering integrated solutions. The book also focuses on the integration of different multi-disciplinary approaches along with examples and case studies. In order to identify the challenges with security and privacy issues, relevant block chain technologies are identified and discussed. Social aspects related to digital solutions and platforms for healthcare are also discussed and analyzed. The book aims to present high quality, technical contributions in the field of mobile digital healthcare using technologies such as AI, deep learning, IoT and distributed cloud computing.

商品描述(中文翻譯)

本書探討了數位醫療領域中使用數據科學和人工智慧等最新技術的當前研究與發展。作者討論了數據科學、人工智慧(AI)和行動技術如何為數位醫療提供基本支撐,並分別介紹每項技術,同時涵蓋整合解決方案。本書還專注於不同跨學科方法的整合,並提供範例和案例研究。為了識別與安全和隱私問題相關的挑戰,相關的區塊鏈技術被識別並進行討論。與數位解決方案和醫療平台相關的社會層面也被討論和分析。本書旨在呈現高品質的技術貢獻,專注於使用人工智慧、深度學習、物聯網(IoT)和分散式雲計算等技術的行動數位醫療領域。

作者簡介

Dr. Pradeep Kumar Singh is currently working as an Associate Professor of Computer Science and Engineering at Central University of Jammu, J&K, India. Dr. Singh is a Senior member of Computer Society of India (CSI), IEEE, ACM and Life Member. He is Associate Editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also associate editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, Wiley. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited a total 24 books from Springer and Elsevier. He has Google scholar citations 3100, H-index 30 and i-10 Index 70. His recently published book titled Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's from Springer has reached more than 27000 downloads in last few months. Recently, Dr. Singh has been nominated as a Section Editor for Discover IoT, a Springer Journal. He has total eight patents to his credit, and supervised six PhD scholars as PhD Supervisor or Co-Supervisor.

Prof. Marcello Trovati obtained his PhD in Mathematics at the University of Exeter in 2007, specialising in theoretical dynamical systems with singularities, after which he accepted a position as algorithm tester and research specialist at a medium sized software development company. His main responsibility was to create, test and documents state-of-the-art statistical algorithms to analyse big datasets. He then moved to the newly created Dublin IBM Research Lab to carry out research mainly in the field of knowledge discovery, text mining, and mathematical modelling, where he gained valuable business and research experience through collaboration with several scientists both at IBM, and at academic institutions. He was involved in a number of research projects in collaboration with other IBM Research Centres and academic institutions. He then joined Coventry University to take up a position as Teaching Fellow, and subsequently the University of Derby as a lecturer, during which he was involved various multi-disciplinary projects focussing on mathematical modelling, algorithm design, and big data analytics. In 2016 Marcello joined the Computer Science Department at Edge Hill University as a senior lecturer and he was recently awarded a Professorship in Computer Science. He is involved in several research themes and projects. He is co-leading the STEM Data Research centre and is actively involved in the Productivity and Innovation Lab, aiming to collaborate and support SMEs in Lancashire. Marcello's main interests include: Mathematical Modelling, Data Science, Big Data Analytics, Network Theory, Machine Learning, Data and Text Mining.

Prof. Fionn Murtagh has a strong track record in research with industrially-relevant consequences, and in teaching and learning. For over 35 years he has been a global leader in research, and applications, of clustering and data analysis, computational statistics, and also modelling and statistical analysis in image and signal processing. Fionn is editor-in-chief of Computer Journal, the British Computer Society's flagship journal. He has a leading role in classification societies International Association for Statistical Computing and the British Computer Society, and has been president of both the Classification Society of North America and the British Classification Society. He is an elected member of the Royal Irish Academy and Academia Europaea.

Dr. Mohammed Atiquzzaman obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) and B.S. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology. He currently holds the Edith Kinney Gaylord Presidential professorship and the Hitachi Chair in the School of Computer Science at the University of Oklahoma, and is a senior member of IEEE. Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, founding Editor-in-Chief of Vehicular Communications and has served/serving on the editorial boards of IEEE Communications Magazine, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications, International Journal on Wireless and Optical Communications, Real Time Imaging journal, Journal of Communication Systems, Communication Networks and Distributed Systems and Journal of Sensor Networks. He also guest edited many special issues in various journals. He has served many international conferences as the general chair. He serves on the review panels of funding agencies such as the National Science Foundation and National Research Council (Canada) and Australian Research Council (Australia). In recognition of his contribution to NASA research, he received the NASA Group Achievement Award for "outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications" project. Mohammed received from IEEE the 2018 Satellite and Space Communications Technical Recognition Award for valuable contributions to the Satellite and Space Communications scientific community., the 2017 Distinguished Technical Achievement Award from IEEE Communications Society in recognition of outstanding technical contributions and services in the area of communications switching and routing, and the 2023 Internet of Things, Ad Hoc and Sensor Networks Technical Achievement Award for "valuable contributions to the Internet of Things, Ad Hoc and Sensor Networks scientific community". He is the co-author of the book "Performance of TCP/IP over ATM networks" and has over 400 refereed publications, which are accessible at www.cs.ou.edu/ atiq.His research interests are in communications switching, vehicular communications, wireless and mobile networks, ad hoc networks, satellite networks, quality of service, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), US Air Force, Cisco, Honeywell, Oklahoma Department of Transportation, and Oklahoma Highway Safety Office through grants totaling over $10M.

Professor Mohsen Farid received a Ph.D. in Computer Science from Queen's University Belfast, UK. His Ph.D. thesis was on modeling eye movements employing various modeling tools such as wavelet transforms and non-linear dynamics. His work contributed to advances in surgery planning and remote surgery. It also allowed the creation of interface modalities for patients diagnosed with Locked-in syndrome (LIS). Dr Farid received his BSc in Physics and Mathematics with Distinction from Ain Shams University, Cairo, Egypt, MS, and Ph.D. and in Theoretical Physics from Polytechnic Institute of New York University. Dr Farid is a fellow of several prestigious international scientific organizations, such as the Institute of Mathematics and Its Application, the International Statistical Institute, the Royal Statistical Society, and the Royal Society for the Arts. He is also an Associate Member of the European Organization for Nuclear Research - ALICE Experiment (CERN), a Senior Member of the Institute of Electrical and Electronics Engineers, a Member of the Association for Computing Machinery, and The Society for Industrial and Applied Mathematics. Dr Farid also has extensive industrial experience in software development and management of Information Technology in multinational organizations such as IBM, Microsoft, MIDOR, and Mitutoyo Tools and Instruments. Professor Farid has served on the faculty of several universities, City University of New York, University of Connecticut, University of Bridgeport, and wasthe department head of Computer Science and Mathematics at Paul Quinn College. Dr. Farid was also an advisor to UNESCO. Dr Farid also held the position of Dean of the Faculty of Computer Science and Engineering at New Mansoura University, Egypt. He is now with the Department of Computing and Mathematics and a Fellow of the Data Science Research Center at the University of Derby. He is the Director of the MSc program in Big Data Analytics, UK. He also holds an Honorary Senior Research Fellow at the University of Huddersfield. His research interests include the application of AI and Machine Learning in Healthcare and Mental Health, Information Theory, Language Engineering, and Particle Identification at CERN. He has published extensively in Human-Computer Interaction, Data Science, Healthcare Informatics, and Computational Linguistics. He supervised many students at the Ph.D., MS, and BS levels. As a teacher, he has consistently scored 85% or above in students' feedback. Dr Farid has received an honorable mention from the US Army for work related to breast cancer. He is also a member of the IEEE P2957 Big Data Governance and Metadata Management Standards Group and co-authored the white paper under the same title.

作者簡介(中文翻譯)

普拉迪普·庫馬爾·辛格博士目前擔任印度查謨中央大學計算機科學與工程的副教授。辛格博士是印度計算機學會(CSI)、IEEE、ACM的資深會員及終身會員。他是《國際資訊系統建模與設計期刊》(IJISMD)的副編輯,該期刊已被Scopus和Web of Science索引。他也是《應用進化計算國際期刊》(IJAEC)的副編輯,該期刊由IGI Global USA出版,並擔任《安全與隱私》(Security and Privacy)期刊的副編輯,該期刊由Wiley出版。他獲得了來自印度政府和喜馬偉州政府的三個贊助研究項目,總價值達250萬盧比。他編輯了24本來自Springer和Elsevier的書籍。他的Google Scholar引用次數為3100,H指數為30,i-10指數為70。他最近出版的書籍《無線感測器網路手冊:當前情境中的問題與挑戰》(Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's)在過去幾個月內下載次數超過27000次。最近,辛格博士被提名為Springer期刊《Discover IoT》的區域編輯。他擁有八項專利,並作為博士生導師或共同導師指導了六名博士生。

馬切洛·特羅瓦提教授於2007年在英國埃克塞特大學獲得數學博士學位,專攻具有奇異性的理論動力系統,之後他在一家中型軟體開發公司擔任算法測試員和研究專家。他的主要責任是創建、測試和記錄最先進的統計算法,以分析大型數據集。隨後,他轉到新成立的都柏林IBM研究實驗室,主要從事知識發現、文本挖掘和數學建模的研究,並通過與IBM及學術機構的多位科學家的合作獲得了寶貴的商業和研究經驗。他參與了與其他IBM研究中心和學術機構合作的多個研究項目。之後,他加入考文垂大學擔任教學研究員,隨後在德比大學擔任講師,期間參與了多個專注於數學建模、算法設計和大數據分析的跨學科項目。2016年,馬切洛加入邊丘大學計算機科學系,擔任高級講師,並最近獲得計算機科學教授職位。他參與了多個研究主題和項目,並共同領導STEM數據研究中心,積極參與生產力與創新實驗室,旨在與蘭開夏的中小企業合作並提供支持。馬切洛的主要興趣包括:數學建模、數據科學、大數據分析、網絡理論、機器學習、數據和文本挖掘。

芬恩·穆爾塔教授在具有工業相關影響的研究以及教學和學習方面擁有良好的記錄。35年來,他一直是聚類和數據分析、計算統計以及圖像和信號處理中的建模和統計分析研究和應用的全球領導者。芬恩是《計算機期刊》的主編,該期刊是英國計算機學會的旗艦期刊。他在國際統計計算協會和英國計算機學會的分類學會中擔任重要角色,並曾擔任北美分類學會和英國分類學會的會長。他是愛爾蘭皇家學院和歐洲學院的當選成員。

穆罕默德·阿提庫扎曼博士在英國曼徹斯特大學獲得電氣工程和電子學的碩士和博士學位,並在孟加拉國工程與科技大學獲得電氣和電子工程的學士學位。他目前擔任奧克拉荷馬大學計算機科學學院的艾迪·金尼·蓋洛德總統教授和日立講座教授,並且是IEEE的資深會員。阿提庫扎曼博士是《網絡與計算機應用期刊》的主編,並且是《車輛通信期刊》的創始主編,曾在IEEE通訊雜誌、IEEE移動計算期刊、IEEE選定通訊領域期刊、國際無線與光通信期刊、實時成像期刊、通訊系統期刊、通訊網絡與分佈系統期刊以及感測器網絡期刊的編輯委員會中任職。他還在多個期刊中擔任特刊的客座編輯。他曾擔任多個國際會議的總主席,並在國家科學基金會、加拿大國家研究委員會和澳大利亞研究委員會等資助機構的審查小組中任職。因其對NASA研究的貢獻,他獲得了NASA集體成就獎,以表彰他在“促進NASA格倫研究中心在先進通信/空中交通管理的光纖信號分配於航空通信項目中的卓越工作”方面的努力。穆罕默德獲得了IEEE頒發的2018年衛星與空間通信技術認可獎,以表彰他對衛星與空間通信科學社群的寶貴貢獻,2017年獲得IEEE通訊學會頒發的傑出技術成就獎,以表彰他在通信交換和路由領域的傑出技術貢獻和服務,並於2023年獲得物聯網、臨時和感測器網絡技術成就獎,以表彰他對物聯網、臨時和感測器網絡科學社群的寶貴貢獻。他是《TCP/IP在ATM網絡上的性能》一書的共同作者,並擁有超過400篇經過同行評審的出版物,這些出版物可在www.cs.ou.edu/atiq上查閱。他的研究興趣包括通信交換、車輛通信、無線和移動網絡、臨時網絡、衛星網絡、服務質量和光通信。他的研究得到了國家科學基金會(NSF)、美國國家航空航天局(NASA)、美國空軍、思科、霍尼韋爾、奧克拉荷馬交通部和奧克拉荷馬公路安全辦公室的資助,總額超過1000萬美元。

莫赫森·法里德教授在英國貝爾法斯特女王大學獲得計算機科學博士學位。他的博士論文是關於使用各種建模工具(如小波變換和非線性動力學)來建模眼球運動。他的工作促進了手術計劃和遠程手術的進展,並使得為被診斷為鎖定綜合症(LIS)的患者創建界面模式成為可能。法里德博士在埃及開羅的艾因沙姆斯大學以優異成績獲得物理和數學學士學位,並在紐約大學理工學院獲得理論物理的碩士和博士學位。法里德博士是多個著名國際科學組織的會員,如數學及其應用學會、國際統計學會、皇家統計學會和皇家藝術學會。他還是歐洲核子研究組織-ALICE實驗(CERN)的副會員、電氣和電子工程師學會的資深會員、計算機學會的會員以及工業與應用數學學會的會員。法里德博士在IBM、微軟、MIDOR和三丰工具與儀器等跨國組織擁有豐富的軟體開發和資訊技術管理經驗。法里德教授曾在多所大學任教,包括紐約市立大學、康涅狄格大學、布里奇波特大學,並曾擔任保羅·奎因學院計算機科學與數學系主任。法里德博士還曾擔任聯合國教科文組織的顧問。他還擔任埃及新曼蘇拉大學計算機科學與工程學院的院長。現在,他在德比大學的計算與數學系任教,並擔任數據科學研究中心的研究員。他是英國大數據分析碩士課程的主任,並在哈德斯菲爾德大學擔任榮譽高級研究員。他的研究興趣包括人工智慧和機器學習在醫療保健和心理健康中的應用、信息理論、語言工程和CERN的粒子識別。他在人機互動、數據科學、醫療信息學和計算語言學方面發表了大量文章。他指導了多名博士、碩士和學士級別的學生。作為一名教師,他在學生反饋中始終獲得85%或以上的評分。法里德博士因與乳腺癌相關的工作獲得美國陸軍的榮譽提名。他還是IEEE P2957大數據治理和元數據管理標準小組的成員,並共同撰寫了同名白皮書。

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