Connected Health Insights for Sustainable Development: Integrating Iot, Ai, and Data-Driven Solutions
暫譯: 可持續發展的連接健康洞察：整合 IoT、AI 與數據驅動解決方案
Siddiqui, Shama, Khan, Anwar Ahmed, Khan Khattak, Muazzam Ali
商品描述
This book offers a comprehensive look at how emerging technologies like IoT, Data Science, and AI can drive significant advancements in healthcare, particularly in alignment with Sustainable Development Goal 3 (SDG 3) - Good Health and Well-Being. By bridging technological innovation with the critical need for improved healthcare systems, this book explores how these technologies are revolutionizing both personal and population health management. Readers will gain insights into how IoT-enabled devices, AI-powered analytics, and data-driven decision-making tools enhance everything from continuous patient monitoring to personalized medicine and resource optimization for governments.
The initial chapters provide a foundational understanding of IoT, AI, and Data Science, followed by in-depth discussions on their integration into healthcare applications. Key topics include continuous health monitoring through wearable technologies, the role of mobile health (m-Health) in making healthcare more accessible, and the use of advanced analytics in diagnosing diseases early. Personalized medicine is explored as a pivotal breakthrough in improving patient outcomes by leveraging data from IoT devices and AI-driven models to tailor treatment plans. Further, the book also covers the advancements in medical imaging and how it supports real-time diagnosis and treatment.
Towards the latter part, the book delves into population health surveillance and healthcare resource management through the combined power of these technologies. It presents how governments and healthcare providers can optimize their resources, predict disease outbreaks, and manage pandemics more effectively. Additionally, ethical concerns surrounding the use of these technologies in healthcare are discussed, providing readers with a holistic view of both the opportunities and challenges posed by the IoT-Data Science-AI nexus in achieving SDG 3.
商品描述(中文翻譯)
這本書全面探討了物聯網（IoT）、數據科學（Data Science）和人工智慧（AI）等新興技術如何推動醫療保健的重大進步，特別是與可持續發展目標3（SDG 3）——良好健康與福祉的對齊。通過將技術創新與改善醫療系統的迫切需求相結合，本書探討了這些技術如何徹底改變個人和人口健康管理。讀者將深入了解物聯網設備、人工智慧驅動的分析和數據驅動的決策工具如何提升從持續病人監測到個性化醫療及政府資源優化的各個方面。
初始章節提供了物聯網、人工智慧和數據科學的基礎理解，隨後深入討論它們在醫療應用中的整合。主要主題包括通過可穿戴技術進行的持續健康監測、移動健康（m-Health）在提高醫療可及性方面的作用，以及在早期診斷疾病中使用先進分析的方式。個性化醫療被探討為改善病人結果的關鍵突破，通過利用物聯網設備和人工智慧驅動模型的數據來量身定制治療計劃。此外，本書還涵蓋了醫學影像的進展及其如何支持實時診斷和治療。
在後半部分，本書深入探討了通過這些技術的結合力量進行人口健康監測和醫療資源管理。它展示了政府和醫療提供者如何優化資源、預測疾病爆發以及更有效地管理疫情。此外，還討論了在醫療保健中使用這些技術所帶來的倫理問題，為讀者提供了關於物聯網-數據科學-人工智慧聯結在實現可持續發展目標3方面所帶來的機遇與挑戰的全面視角。
作者簡介
Shama Siddiqui is an Associate Professor with the Department of Computer Science, DHA Suffa University (DSU), Karachi Pakistan. She acquired her PhD (Computer Science) with specialization in Wireless Sensor Networks (WSNs) from Faculty of Computer Science, Institute of Business Administration in 2018. She works in the areas of Media Access Control Protocols design and optimization for WSNs, and applications of Internet of Things (IoT), Internet of Medical Things (IoMT), Industrial IoT and other emerging applications of IoT. She has been actively supervising undergraduate projects and MS/PhD dissertations and also serves as a program manager for Masters and PhD programs at DSU. She is a regular reviewer of various prestigious conferences and journals including IEEE Sensors Journal, IEEE Transactions of Vehicular Technology, IEEE Transactions on Network Science and Engineering, Physical Communication, Mobile Information Systems, Journal of Ambient Intelligence and Humanized Computing, Sustainable Computing: Informatics and Systems, NUST Journal of Engineering Sciences and IEEE Sensors Conference. Additionally, she has established numerous international collaborations, with one of the most prominent being an EU-funded staff exchange project, focused on the Joint Optimization of Data and Energy Networks aimed at advancing the digitization of sustainable communities.
Anwar Ahmed Khan is an Associate Professor with the Department of Computer Science, Millennium Institute of Technology and Entrepreneurship (MiTE), Karachi, Pakistan. He holds a PhD (Computer Science) with specialization in Wireless Sensor Networks (WSNs) from Faculty of Computer Science, Institute of Business Administration, completed in 2020. Earlier he did Master in Electronics from NED University, Karachi and Bachelor of Engineering in Electronics from Hamdard University. Anwar's areas of interest include MAC protocol design, design and development of IoT solutions with a special focus on achieving Sustainable Development Goals (SDGs). Due to his interest in electronic circuit design and optimization, he serves as advisor to various final year project groups at MiTE and other universities. He has international collaborations with researchers from across the globe including Qatar, Ireland, Saudi Arabia and the USA. He is associated with EU-funded staff exchange project focused on the Joint Optimization of Data and Energy Networks for sustainable communities.
Prof. Muazzam Ali Khan Khattak (SM IEEE, PAS) is serving as Director Science and Technology at Quaid-i-Azam University (QAU), Islamabad, Pakistan. He has a joint PhD in Wireless networks from IIUI and (UMKC), USA. He is also an adjunct professor with University of Missouri Kansas City, USA and USAK University, Turkey. Besides other academic activities he is also leading the ICESCO Chair Data Analytics and Edge Computing. He has over 17 years of experience in the fields of ICT both at national and international level; he is a member of Prime Minister Advisory Committee for Establishment of IT Center of Excellence in Pakistan, member of Higher Education Commission, member of Asian Council of Science Editors and Member International advisory board of Usak University Türkiye. He has been granted $350M for research projects from different bodies such as OIC, ICESCO and from various agencies at Pakistan, China and USA. His research interests include IoT, IoMT, Information & Network Security, Multimedia encryption and compression and block chain and IoTA. To date, He has 210+ international publications with total citations of 4610+ and H-index 40.
Raazia Sosan is an Assistant Professor in the Department of Computer Science at DHA Suffa University (DSU), Karachi, Pakistan. She received her PhD in Computer Science with a specialization in Computer Graphics and Visualization using High-Performance Computing from DSU in 2023. During her PhD, she was awarded the Association for Computing Machinery's Women in Computing (ACM-W) Scholarship, recognizing her potential and contributions in the field. Her research interests include computer graphics, image processing, machine learning, and high-performance computing using Compute Unified Device Architecture (CUDA). She has also contributed to a national Research and Development (R&D) project with Space & Upper Atmosphere Research Commission (SUPARCO).
作者簡介(中文翻譯)
Shama Siddiqui 是巴基斯坦卡拉奇DHA Suffa大學（DSU）計算機科學系的副教授。她於2018年在商業管理學院計算機科學系獲得計算機科學博士學位，專攻無線感測器網路（WSNs）。她的研究領域包括無線感測器網路的媒體存取控制協定設計與優化，以及物聯網（IoT）、醫療物聯網（IoMT）、工業物聯網及其他新興物聯網應用的應用。她積極指導本科專案及碩士/博士論文，並擔任DSU碩士及博士課程的計畫經理。她是多個知名會議和期刊的定期審稿人，包括IEEE Sensors Journal、IEEE Transactions of Vehicular Technology、IEEE Transactions on Network Science and Engineering、Physical Communication、Mobile Information Systems、Journal of Ambient Intelligence and Humanized Computing、Sustainable Computing: Informatics and Systems、NUST Journal of Engineering Sciences及IEEE Sensors Conference。此外，她建立了多項國際合作，其中最突出的為一個歐盟資助的員工交流計畫，專注於數據與能源網路的聯合優化，旨在推進可持續社區的數位化。
Anwar Ahmed Khan 是巴基斯坦卡拉奇千禧科技與企業學院（MiTE）計算機科學系的副教授。他於2020年在商業管理學院計算機科學系獲得無線感測器網路（WSNs）專攻的博士學位。早前，他在NED大學獲得電子學碩士學位，並在Hamdard大學獲得電子工程學士學位。Anwar的研究興趣包括媒體存取控制協定設計、物聯網解決方案的設計與開發，特別專注於實現可持續發展目標（SDGs）。由於他對電子電路設計與優化的興趣，他擔任MiTE及其他大學多個畢業專案小組的顧問。他與來自卡塔爾、愛爾蘭、沙烏地阿拉伯及美國的研究人員有國際合作。他參與的歐盟資助的員工交流計畫專注於可持續社區的數據與能源網路的聯合優化。
Prof. Muazzam Ali Khan Khattak (SM IEEE, PAS) 現任巴基斯坦伊斯蘭堡Quaid-i-Azam大學（QAU）科技與技術主任。他擁有來自IIUI和美國UMKC的無線網路聯合博士學位。他同時也是美國密蘇里堪薩斯城大學及土耳其USAK大學的兼任教授。除了其他學術活動外，他還領導ICESCO Chair數據分析與邊緣計算。他在資訊與通訊技術（ICT）領域擁有超過17年的經驗，並且是巴基斯坦IT卓越中心建立的總理諮詢委員會成員、高等教育委員會成員、亞洲科學編輯委員會成員及土耳其USAK大學國際諮詢委員會成員。他獲得了來自OIC、ICESCO及巴基斯坦、中國和美國各機構的3.5億美元研究項目資助。他的研究興趣包括物聯網（IoT）、醫療物聯網（IoMT）、資訊與網路安全、多媒體加密與壓縮、區塊鏈及IoTA。至今，他擁有210篇以上的國際出版物，總引用次數超過4610次，H指數為40。
Raazia Sosan 是巴基斯坦卡拉奇DHA Suffa大學（DSU）計算機科學系的助理教授。她於2023年在DSU獲得計算機科學博士學位，專攻高效能計算下的計算機圖形學與視覺化。在攻讀博士學位期間，她獲得了計算機協會女性計算機專業人士（ACM-W）獎學金，以表彰她在該領域的潛力與貢獻。她的研究興趣包括計算機圖形學、影像處理、機器學習及使用計算統一設備架構（CUDA）的高效能計算。她還參與了與太空與上層大氣研究委員會（SUPARCO）合作的國家研究與發展（R&D）項目。
