Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services
暫譯: 大數據分析與智慧應用於智慧安全醫療服務
Upreti, Kamal, Kumar, Nishant, Alam, Mohammad Shabbir
- 出版商: CRC
- 出版日期: 2025-02-26
- 售價: $5,830
- 貴賓價: 9.5 折 $5,539
- 語言: 英文
- 頁數: 244
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032832797
- ISBN-13: 9781032832791
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相關分類:
大數據 Big-data、Data Science
海外代購書籍(需單獨結帳)
商品描述
The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.
This book:
- Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability
- Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers
- Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation
- Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints
- Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems
- Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies
This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.
商品描述(中文翻譯)
本書提供了關於利用計算模型,如人工神經網絡、基於代理的模型和決策場理論,進行可靠性工程的全面討論。進一步提出了智能和安全醫療服務的優化解決方案。文本展示了如何利用計算智能預測醫療子系統的故障和維修率。
本書:
- 探討數據驅動的方法論和先進的計算智能如何徹底改變醫療行業,促進效率、可及性和可持續性
- 突出大數據分析在利用大量病人記錄、臨床信息和實時醫療數據中所扮演的關鍵角色,以便為醫療專業人員和政策制定者提供及時的見解
- 討論人工智能和機器學習技術在醫療中的整合,重點在於徹底改變疾病檢測、治療規劃和資源分配
- 為發展可持續的醫療系統奠定基礎,這些系統能夠適應長期挑戰,如人口增長、新興疾病和資源限制
- 涵蓋計算智能技術,如模糊邏輯、神經網絡和進化計算,強調它們在解決複雜的數據驅動醫療問題中的作用
- 包括數據管理、可視化、保護和複雜適應系統等主題,以及用於協同問題解決策略的混合計算智能技術
本卷將作為電機工程、電子與通信工程、計算機工程和數學等領域的高年級本科生、研究生和學術研究人員的理想教材。
作者簡介
Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM(Executive) from IMT Ghaziabad and PhD in Department of Computer Science & Engineering. He has completed Postdoc from National Taipei University of Business, TAIWAN funded by MHRD. He has published 50+ Patents, 45+ Books, 32+Magazine issues and 110+ Research papers in various reputed Journals and international Conferences. His areas of Interest such as Modern Physics, Data Analytics, Cyber Security, Machine Learning, Health Care, Embedded System and Cloud Computing. He has enriched years' experience in corporate and teaching experience in Engineering Colleges. He worked with HCL, NECHCL, Hindustan Times, Dehradun Institute of Technology and Delhi Institute of Advanced Studies, with more than 15+ years of enriching experience in research, Academics and Corporate. He also worked in NECHCL in Japan having project - "Hydrastore " funded by joint collaboration between HCL and NECHCL Company. Dr. Upreti worked on Government project - "Integrated Power Development Scheme (IPDS)" was launched by Ministry of Power, Government of India with the objectives of Strengthening of sub-transmission and distribution network in the urban areas. Recently, he has completed work with Joint collaboration with GB PANT & AIIMS Delhi, under funded project of ICMR Scheme on Cardiovascular diseases prediction strokes using Machine Learning Techniques from year 2017-2020 of having fund of 80 Lakhs. He got 3 Lakhs fund from DST SERB for conducting International Conference, ICSCPS-2024, 13-14 Sept 2024. Recently, he got 10 Lakhs fund from AICTE - Inter-Institutional Biomedical Innovations and Entrepreneurship Program (AICTE-IBIP) for 2024-2026. He has been a Chair Person in several sessions at National and International conferences and also a key note speaker for various platforms such as Skill based training, Corporate Trainer, Guest faculty and faculty development Programme. He awarded as best teacher, best researcher, extra academic performer and Gold Medalist in M. Tech programme.
Nishant Kumar is an Associate Professor in the School of Business and Management, CHRIST (Deemed to be University), Bangalore (India). During the initial phase of his career, he worked with Amity University, Doon University, Delhi Institute of Advanced Studies, HCL Infosystems ltd., with more than 12 years of rich experience in academics, research, and corporate. He also worked on an international research project, "Vulnerability and possible business adoption measures in the Himalayan region," funded by the Swiss Agency for Development and Cooperation (SDC). Dr. Kumar has published over 20 research papers in journals with ABS, SCOPUS, Web of Science, and ABDC classifications. He has also published book, patents, book chapters, and also a member in the Editorial Review Board of journals like Global business strategy for Sustainability, Journal of market access & health policy, Research Journal of Textile and Apparel, Human Behavior and Emerging Technologies, Technological Innovations for Sustainability and Business Growth, and Global journal of flexible systems management. He has presented papers at various National & International conferences in prestigious institutes like IIM Bangalore, IIM Indore, IIT Roorkee, University of Mumbai and has won outstanding research paper awards. His interest and expertise include intelligent computation technologies, blockchain and its application, data analytics, mixed-methodology, multivariate statistical analysis, model development, and validation using SPSS, PLS-SEM, and AMOS.
Mohammad Shabbir Alam is presently working as Senior Lecturer in College of Computer Science and Information Technology, Jazan University (Public University), Jazan, Kingdom of Saudi Arabia. He received his master's in computer science & applications (MCA) in years 2007 from Aligarh Muslim University, India. He is doing PhD Computer engineering from UTM Malaysia. More than 15 years of academic and industry experiences in area of Computer Science and Information Technology. He has published 1 UK Patents, 2 German Patents and 4 Australian patents, 4 Books, 1 Book chapter and more than 30+ research papers in reputed international journals and national/international conference proceedings. His areas of research interest include Deep learning, Blockchain, Machine Learning and Health Care.
Mohammad Shahnawaz Nasir is presently working as Senior Lecturer in College of Computer Science and Information Technology, Jazan University (Public University), Jazan, Kingdom of Saudi Arabia. He received his master's in computer science & applications (MCA) and master's in science (M.Sc.) Physics, Electronic specializations in years 1997 and 1992 respectively from Aligarh Muslim University, India. Previously worked with Arab Open University, Riyadh, Kingdom of Saudi Arabia, Al-Madinah Al-Manuwarrah Research and Studies Center (KSA), Jamia Millia Islamia (New-Delhi) and Aligarh Muslim University, Aligarh, India. More than 28 years of academic and industry experiences (20 Years in Teaching and 8 Years in IT Industry) in area of Computer Science and Information Technology. He has published 6 Patents, 2 Books, 1 Book chapter and more than 20+ research papers in reputed international journals and national/international conference proceedings. His areas of research interest include Data Mining, Blockchain, Machine Learning and Health Care.
Debabrata Samanta is presently working as an Assistant Professor & Program Head, at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research & Development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He has received funding of 8,110 USD under Open Access, Publication fund. He has received funding under International Travel Support Scheme in 2019 for attending the conference in Thailand. He has received Travel Grant to speaker at conferences, seminars, etc for two years from July 2019. He is the owner of 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyright. He has authored and co-authored over 244 research papers in an international journal (SCI/SCIE/ESCI/Scopus) and conferences proceedings. He received "Scholastic Award" at the 2nd International Conference on Computer Science and IT application, CSIT-2011, Delhi, India. He is a co-author of 13 books and the co-editor of 13 books, available for sale on Amazon and Flipkart. He has presented various papers at international conferences and received Best Paper awards. He has the author and co-authors of 08 Book Chapters. He also serves as acquisition editor for several publications of international repute. He is IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE). He is a Convener, Keynote speaker, Session chair, Co-chair, Publicity chair, Publication chair, Advisory Board, and Technical Program Committee member in many prestigious International and National conferences. He has invited speakers at several Institutions.
作者簡介(中文翻譯)
**Kamal Upreti** 目前擔任印度德里 NCR 加濟阿巴德 CHRIST(被認可的大學)計算機科學系的副教授。他在 UPTU 獲得了榮譽學士學位(B. Tech),並在 IMT 加濟阿巴德獲得了金獎碩士學位(M. Tech)、高級管理文憑(PGDM)及計算機科學與工程系的博士學位(PhD)。他在台灣國立台北商業大學完成了博士後研究,該研究由印度人力資源發展部(MHRD)資助。他已發表超過 50 項專利、45 本書籍、32 期雜誌及 110 篇研究論文於各大知名期刊及國際會議上。他的研究興趣包括現代物理、數據分析、網絡安全、機器學習、醫療保健、嵌入式系統及雲計算。他在企業及工程學院的教學經驗豐富,擁有超過 15 年的研究、學術及企業經驗,曾在 HCL、NECHCL、印度亨都斯坦時報、德哈敦科技學院及德里高級研究院工作。他還曾在日本 NECHCL 工作,參與名為「Hydrastore」的項目,該項目由 HCL 與 NECHCL 公司共同資助。Upreti 博士參與了由印度政府電力部推出的「綜合電力發展計劃(IPDS)」政府項目,旨在加強城市地區的次級傳輸及配電網絡。最近,他與 GB PANT 和德里 AIIMS 的聯合合作完成了一項資助項目,該項目於 2017-2020 年間針對心血管疾病預測中風,資金達 800 萬印度盧比。他獲得了來自 DST SERB 的 30 萬印度盧比資金,用於舉辦國際會議 ICSCPS-2024,會議將於 2024 年 9 月 13-14 日舉行。最近,他獲得了來自 AICTE 的 100 萬印度盧比資金,用於 2024-2026 年的跨機構生物醫學創新與創業計劃(AICTE-IBIP)。他在多個國內外會議中擔任過多個會議的主席,並在各種平台上擔任主題演講者,如技能培訓、企業培訓、客座講師及教學發展計劃。他曾獲得最佳教師、最佳研究者、優秀學術表現者及碩士學位金獎得主的榮譽。
**Nishant Kumar** 是印度班加羅爾 CHRIST(被認可的大學)商業與管理學院的副教授。在職業生涯的初期,他曾在阿米提大學、杜恩大學、德里高級研究院及 HCL 資訊系統有限公司工作,擁有超過 12 年的豐富學術、研究及企業經驗。他還參與了一個國際研究項目「喜馬拉雅地區的脆弱性及可能的商業採納措施」,該項目由瑞士發展與合作署(SDC)資助。Kumar 博士在 ABS、SCOPUS、Web of Science 和 ABDC 分類的期刊上發表了超過 20 篇研究論文。他還出版了書籍、專利、書籍章節,並擔任多個期刊的編輯審查委員會成員,如《全球商業可持續發展策略》、《市場准入與健康政策期刊》、《紡織與服裝研究期刊》、《人類行為與新興技術》、《可持續發展與商業增長的技術創新》及《靈活系統管理的全球期刊》。他在 IIM 班加羅爾、IIM 印多爾、IIT 盧爾基、孟買大學等知名機構的各種國內外會議上發表論文,並獲得了優秀研究論文獎。他的興趣和專長包括智能計算技術、區塊鏈及其應用、數據分析、混合方法、多變量統計分析、模型開發及使用 SPSS、PLS-SEM 和 AMOS 的驗證。
**Mohammad Shabbir Alam** 目前擔任沙烏地阿拉伯賈贊大學(公立大學)計算機科學與信息技術學院的高級講師。他於 2007 年在印度阿里格爾穆斯林大學獲得計算機科學與應用碩士學位(MCA)。他目前在馬來西亞 UTM 攻讀計算機工程博士學位。擁有超過 15 年的計算機科學與信息技術領域的學術及行業經驗。他已發表 1 項英國專利、2 項德國專利、4 項澳大利亞專利、4 本書籍、1 本書章及超過 30 篇研究論文於知名國際期刊及國內/國際會議論文集中。他的研究興趣包括深度學習、區塊鏈、機器學習及醫療保健。
**Mohammad Shahnawaz Nasir** 目前擔任沙烏地阿拉伯賈贊大學(公立大學)計算機科學與信息技術學院的高級講師。他於 1997 年和 1992 年分別在印度阿里格爾穆斯林大學獲得計算機科學與應用碩士學位(MCA)及物理學碩士學位(M.Sc.),專攻電子學。曾在沙烏地阿拉伯利雅德的阿拉伯開放大學、阿爾馬迪納阿爾曼努拉研究與研究中心(KSA)、新德里的賈米亞米利亞伊斯蘭大學及阿里格爾穆斯林大學工作。擁有超過 28 年的學術及行業經驗(20 年教學及 8 年 IT 行業經驗)於計算機科學與信息技術領域。他已發表 6 項專利、2 本書籍、1 本書章及超過 20 篇研究論文於知名國際期刊及國內/國際會議論文集中。他的研究興趣包括數據挖掘、區塊鏈、機器學習及醫療保健。
**Debabrata Samanta** 目前擔任歐洲科索沃羅切斯特理工學院計算與信息技術系的助理教授及項目負責人。他在印度杜爾卡普爾國立技術學院獲得計算機科學與工程博士學位,專攻 SAR 圖像處理。他對跨學科研究與開發充滿熱情,並在 SAR 圖像分析、視頻監控、圖像分類的啟發式算法、檢測與分類的深度學習框架、區塊鏈、統計建模、無線自組網、自然語言處理等領域擁有經驗。他成功完成了六個顧問項目,並在開放存取出版基金下獲得了 8,110 美元的資金。他在 2019 年獲得國際旅行支持計劃的資金,以參加在泰國舉行的會議。他在 2019 年 7 月起獲得了兩年內參加會議、研討會等的旅行補助。他擁有 22 項專利(4 項設計印度專利和 2 項澳大利亞專利已授予,16 項印度專利已發表)及 2 項版權。他在國際期刊(SCI/SCIE/ESCI/Scopus)及會議論文集中發表了超過 244 篇研究論文。他在 2011 年於印度德里舉行的第二屆國際計算機科學與 IT 應用會議(CSIT-2011)中獲得「學術獎」。他是 13 本書的共同作者及 13 本書的共同編輯,這些書籍在亞馬遜和 Flipkart 上有售。他在國際會議上發表了多篇論文並獲得最佳論文獎。他是 8 本書章的作者及共同作者。他還擔任多個國際知名出版物的採購編輯。他是 IEEE 高級會員、印度計算機學會(CSI)終身副會員及印度技術教育學會(ISTE)終身會員。他在許多知名的國際和國內會議中擔任召集人、主題演講者、會議主席、共同主席、宣傳主席、出版主席、顧問委員會及技術計劃委員會成員。他還受邀在多個機構擔任演講者。