Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
暫譯: 人工智慧與物聯網:智慧醫療的應用
Goyal, Lalit Mohan, Saba, Tanzila, Rehman, Amjad
相關主題
商品描述
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings.
The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care.
This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.
商品描述(中文翻譯)
本書揭示了人工智慧(AI)和物聯網(IoT)在智慧醫療和醫療系統中的應用。它提供了核心原則、演算法、協議、新興趨勢、安全問題以及最新的電子健康服務研究結果。
本書還提供了案例研究,並討論了無線設備、感測器和深度學習等 AI 和 IoT 應用如何在協助病人、醫生和藥劑人員方面發揮重要作用。它專注於如何利用 AI 和 IoT 來確保病人的安全與健康,同時使醫生能夠提供卓越的護理。
本書是為在資訊科技、計算機科學和醫療設備製造行業工作的研究人員和實務工作者所撰寫,針對具有基本和高級 AI 及 IoT 應用的產品和服務。本書對於學術研究人員和學生也是一本有用的指南。
作者簡介
Lalit Mohan Goyal received BTech (Hons.) in computer engineering from Kurukshetra University, Kurukshetra; MTech (Hons.) in information technology from Guru Gobind Singh Indraprastha University, New Delhi; and PhD in computer engineering from Jamia Millia Islamia, New Delhi. He has 16 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. He is currently with the Department of Computer Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad, India. He is currently working on the project sponsored by the Indian Council of Medical Research, Delhi. He has published research papers in SCI indexed and Scopus indexed journals and conferences. He is a reviewer of many reputed journals and conferences.
Tanzila Saba earned her PhD in document information security and management from Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia in 2012. She won the best student award in the Faculty of Computing, UTM for 2012. Currently, she is serving as an Associate Chair of Information Systems Department in the College of Computer and Information Sciences, Prince Sultan University Riyadh, Saudi Arabia. Her primary focuses of research focuses in recent years are medical imaging, pattern recognition, data mining, MRI analysis, and soft-computing. She has above 200 publications that have above 5000 citations with h-index 46. Her mostly publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who's Who (S & T) 2012. Currently, she is an editor and reviewer of reputed journals and on the panel of TPC of international conferences. She has full command of a variety of subjects and taught several courses at the graduate and postgraduate levels. On the accreditation side, she is a skilled lady with ABET and NCAAA quality assurance. She is the senior member of IEEE. Dr. Tanzila is the leader of the Artificial Intelligence and Data Analytics Research Lab at PSU and active professional members of ACM, AIS, and IAENG organizations. She is the PSU WiDS (Women in Data Science) ambassador at Stanford University and Global Women Tech Conference. She earned the best researcher award at PSU for consecutive 4 years. She has been nominated as a Research Professor at PSU since September 2019.
Amjad Rehman is a Senior Researcher in the Artificial Intelligence and Data Analytics Lab, Prince Sultan University, Riyadh, Saudi Arabia. He received his PhD and Postdoc from Faculty of Computing, Universiti Teknologi Malaysia with specialization in Forensic Documents Analysis and Security with honors in 2010 and 2011, respectively. He received the Rector Award 2010 for best student in the university. Currently, he is PI in several funded projects and also completed projects funded from MOHE, Malaysia, Saudi Arabia. His keen interests are in data mining, health informatics, and pattern recognition. He is author of more than 200 ISI journal papers, conferences and is a senior member of IEEE with h-index 44.
Souad Larabi-Marie-Sainte graduated in operational research from the University of Sciences and Technology Houari Boumediene, Algeria. She received dual MSc in mathematics, decision and organization from Paris Dauphine University, France, and in computing and applications from Sorbonne Paris 1 University, France, and PhD in bioinspired algorithms (artificial intelligence) from the Computer Science Department, Toulouse 1 University Capitole, France, in 2011. She was an Assistant Professor with the College of Computer and Information Sciences, King Saud University. She was also an Associate Researcher with the Department of Computer Science, Toulouse 1 University Capitole, France. She is currently an Assistant Professor with the Department of Computer Science, Associate Director of Software Engineering and Cyber Security Master Programs, and Vice-Chair of the ACM Professional Chapter at Prince Sultan University. She has written several articles and has attended various specialized international conferences. She has also participated in several research projects. Her research interests include combinatorial optimization, metaheuristics, artificial intelligence and especially bioinspired algorithms applied to multidisciplinary domains, algorithms analysis and design, bioinformatics, data mining, machine and deep learning, biometric identification, natural language processing, and software engineering.
作者簡介(中文翻譯)
Lalit Mohan Goyal 於庫魯克舍特大學獲得計算機工程的榮譽學士學位 (BTech (Hons.));於新德里的古魯戈賓德辛格印度普拉斯大學獲得資訊技術的榮譽碩士學位 (MTech (Hons.));並於新德里的賈米亞米利亞伊斯蘭大學獲得計算機工程的博士學位 (PhD)。他在計算理論、平行與隨機演算法、分散式資料探勘及雲端計算等領域擁有 16 年的教學經驗。目前,他在印度法里達巴德的 J.C. Bose 科學與技術大學計算機工程系任職。他目前正在進行由印度醫學研究委員會贊助的專案。他在 SCI 和 Scopus 索引的期刊及會議上發表了多篇研究論文,並擔任多個知名期刊和會議的審稿人。
Tanzila Saba 於 2012 年在馬來西亞科技大學 (Universiti Teknologi Malaysia, UTM) 的計算學院獲得文件資訊安全與管理的博士學位 (PhD)。她在 2012 年獲得 UTM 計算學院的最佳學生獎。目前,她擔任沙烏地阿拉伯利雅德的王子蘇丹大學計算與資訊科學學院資訊系的副主任。她近年來的主要研究重點包括醫學影像、模式識別、資料探勘、MRI 分析及軟計算。她擁有超過 200 篇的出版物,引用次數超過 5000 次,h-index 為 46。她的出版物大多集中於生物醫學研究,並發表在 ISI/SCIE 索引的期刊上。由於她卓越的研究成就,她被列入 2012 年的 Marquis Who's Who (S & T)。目前,她是多個知名期刊的編輯和審稿人,並參與國際會議的技術程序委員會 (TPC)。她對多種學科有全面的掌握,並在研究生及碩士階段教授多門課程。在認證方面,她擁有 ABET 和 NCAAA 的質量保證專業技能。她是 IEEE 的資深會員。Tanzila 博士是王子蘇丹大學人工智慧與資料分析研究實驗室的負責人,並積極參與 ACM、AIS 和 IAENG 組織的專業活動。她是王子蘇丹大學 WiDS (Women in Data Science) 的大使,並參加斯坦福大學和全球女性科技會議。她連續四年獲得王子蘇丹大學的最佳研究者獎。自 2019 年 9 月以來,她被提名為王子蘇丹大學的研究教授。
Amjad Rehman 是沙烏地阿拉伯利雅德王子蘇丹大學人工智慧與資料分析實驗室的高級研究員。他於 2010 年和 2011 年在馬來西亞科技大學計算學院獲得博士學位 (PhD) 和博士後研究 (Postdoc),專攻法醫文件分析與安全,並以優異成績畢業。他於 2010 年獲得大學最佳學生的校長獎。目前,他是多個資助專案的主要研究者 (PI),並完成了來自馬來西亞和沙烏地阿拉伯的資助專案。他對資料探勘、健康資訊學和模式識別有濃厚的興趣。他是超過 200 篇 ISI 期刊論文的作者,並是 IEEE 的資深會員,h-index 為 44。
Souad Larabi-Marie-Sainte 於阿爾及利亞的霍阿里·布梅迪恩科技大學獲得運籌學學位。她於法國巴黎多芬大學獲得數學、決策與組織的雙碩士學位 (MSc),以及於法國索邦巴黎 1 大學獲得計算與應用的雙碩士學位,並於 2011 年在法國圖盧茲 1 大學的計算機科學系獲得生物啟發演算法(人工智慧)的博士學位 (PhD)。她曾擔任沙烏地阿拉伯國王沙烏德大學計算與資訊科學學院的助理教授,並曾擔任法國圖盧茲 1 大學計算機科學系的副研究員。目前,她是王子蘇丹大學計算機科學系的助理教授、軟體工程與網路安全碩士課程的副主任,以及 ACM 專業分會的副主席。她撰寫了多篇文章,並參加了各種專業國際會議,還參與了多個研究專案。她的研究興趣包括組合優化、元啟發式演算法、人工智慧,特別是應用於多學科領域的生物啟發演算法、演算法分析與設計、生物資訊學、資料探勘、機器學習與深度學習、生物識別、自然語言處理及軟體工程。