Internet of Things-Based Machine Learning in Healthcare: Technology and Applications
暫譯: 基於物聯網的醫療機器學習：技術與應用
Dey, Prasenjit, Kumar Adhikari, Sudip, de, Sourav
相關主題
商品描述
The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems.
- Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records
- Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems
- Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services
- Discusses unsupervised genetic algorithm-based automatic heart disease prediction
- Covers Internet of Things-based hardware mechanisms and machine learning algorithms to predict the stress level of patients
The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.
商品描述(中文翻譯)
醫療物聯網（IoMT）是一個系統，透過不同的感測輸入（例如，加速度計、心電圖和腦電圖）收集患者的數據。本文介紹了與機器學習和物聯網（IoT）算法在分析醫療系統生成的數據應用相關的理論和實踐概念。
- 說明了醫療領域的最新技術以及用於儲存智慧電子健康紀錄的物聯網基礎設施
- 強調了機器學習算法的重要性以及物聯網基礎設施對醫療系統的意義
- 展示了雲端計算架構和邊緣計算在現代醫療服務新方面的應用
- 討論了基於無監督遺傳算法的自動心臟病預測
- 涵蓋了基於物聯網的硬體機制和機器學習算法，以預測患者的壓力水平
本文主要針對計算機科學與工程、生物醫學工程、電機工程和資訊科技領域的研究生和學術研究人員撰寫。
作者簡介
Dr Prasenjit Dey received his B.Tech. degree in computer science and engineering from the West Bengal University of Technology, Kolkata, India, in 2010, and the M.Tech. degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2012. He was an Associate Innovator with Nivio Technologies, Gurgaon, India, in 2012. He was hardware graphics designer at Intel from 2017 to 2018. He received his Ph.D. degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2018. He has joined the Cooch Behar Government Engineering College, Cooch Behar, India in 2018 and is currently working as an Assistant Professor in the Department of Computer Science. His current research interests include artificial neural networks, pattern recognition and machine learning. He has more than 10 research publications in internationally reputed journals, international edited books, and international IEEE conference proceedings. He served as a reviewer in several International conferences and also in several international editorial books. He also served as a reviewer in some reputed international journals, like, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Artificial Intelligence, Applied Soft Computing, Elsevier, etc. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited to different seminars as an expert speaker.
Dr. Sourav De did his Bachelors in Information Technology from The University of Burdwan, Burdwan, India in 2002. He did his Masters in Information Technology from West Bengal University of Technology, Kolkata, India in 2005. He completed PhD in Computer Science and Technology from Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science & Engineering Department in Cooch Behar Government Engineering College, West Bengal from the year 2016. Previous to this, he was an Assistant Professor for more than ten years in the Department of Computer Science and Engineering and Information Technology of University Institute of Technology, The University of Burdwan, Burdwan, India. He served as a Junior Programmer in Apices Consultancy Private Limited, Kolkata, India in 2005. He is a co-author of one book and the co-editor of sixteen books and has more than 69 research publications in internationally reputed journals, international edited books, and international IEEE conference proceedings and five patents and three copyright to his credit. He served as a reviewer in several International IEEE conferences and also in several international editorial books. He also served as a reviewer in some reputed international journals, like, Applied Soft Computing, Elsevier, B. V., Knowledge-Based Systems, Soft Computing Letters, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, Inderscience Journals, etc. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited to different seminars as an expert speaker. His research interests include soft computing, pattern recognition, image processing, and data mining. Dr. De is a Senior member of IEEE and also member of ACM, Institute of Engineers (IEI), Computer Science Teachers Association (CSTA), Institute of Engineers and IAENG, Hong Kong. He is a life member of ISTE, India.
Dr. Sudip Kumar Adhikari passed B. Tech in Computer Science & Engineering from Vidyasagar University. He obtained the M.E. and Ph.D. degree in Computer Science & Engineering from Jadavpur University. He had more than 18 years of teaching experiences. He is currently an assistant professor in Computer Science & Engineering Department of Cooch Behar Government Engineering College, Cooch Behar, India. He had published more than eighteen research papers in reputed International Journals and Conferences. His research interest includes Medical image processing, Pattern recognition, Artificial intelligence, Soft Computing. He is a Senior Member of IEEE and member of Institute of Engineers. He served as a reviewer in several International conferences and also in several reputed international journals like, Applied Soft Computing, Elsevier, IET Computer Vision, IEEE Access, and IEEE Transaction on Fuzzy System etc. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited to different seminars as an expert speaker.
Mr. Indrajit Kar holds a Master's degree in Computational Biology and a Bachelor's in Science from a Bengaluru university. A dynamic entrepreneur, He has built teams at Siemens, Accenture, IBM, and Infinite Data Systems. He's now the AVP and Global Head of AI and ML at Zensar Technologies, overseeing ZAIR and Data Practices. He has authored 21 research papers published in IEEE, Springer, Wiley, and CRC, covering topics like Large Language Models, Computer Vision, NLP, and Time Series analysis. He has received five "Best Paper Awards," including one from Cardiff University. A mentor to startups, he's guided two to revenue generation and has received numerous accolades, including the '40 Under 40 Data Scientists' award from Analytics India Magazine. His trophy case includes two IP Samman and Service Excellence awards from Siemens, the Growth Market Award from Accenture, and various innovation and contribution awards from Accenture, IBM, Siemens Healthcare, and Hewlett-Packard. He has managed over 30 projects in AI/ML and is an accomplished author, co-writing two books, one on Generative AI, and has delivered 19 lectures and keynote speeches. An Adjunct Faculty member for a Data Science course at Upgard, he holds 14 AI/ML patents. Under his leadership, his teams have won five Best Team/Project awards, including Best AI/ML Project House and the Werner Von Siemens award. His initiatives have led Siemens to be ranked as a top Data Science company by Analytics India Magazine. He has mentored over 150 AI and ML aspirants and has been a speaker at universities such as IIT Madras and PESIT, contributing to the field's growth and innovation.
作者簡介(中文翻譯)
德拉·普拉森吉特·德伊博士於2010年獲得印度加爾各答西孟加拉科技大學的計算機科學與工程學士學位，並於2012年獲得印度杜爾加普爾國立技術學院的計算機科學與工程碩士學位。他於2012年擔任Nivio Technologies（印度古爾岡）的副創新者，並於2017年至2018年擔任英特爾的硬體圖形設計師。他於2018年獲得印度杜爾加普爾國立技術學院的計算機科學與工程博士學位。自2018年起，他加入印度庫奇比哈政府工程學院，並目前擔任計算機科學系的助理教授。他目前的研究興趣包括人工神經網絡、模式識別和機器學習。他在國際知名期刊、國際編輯書籍和國際IEEE會議論文集中發表了超過10篇研究論文。他曾擔任多個國際會議的審稿人，並在幾本國際編輯書籍中擔任審稿人。他還在一些知名國際期刊中擔任審稿人，如IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Systems, Man, and Cybernetics、IEEE Transactions on Artificial Intelligence、Applied Soft Computing、Elsevier等。他曾是多個國內外會議的組織和技術程序委員會成員，並受邀作為專家講者參加不同的研討會。
德拉·索拉夫·德博士於2002年在印度布爾德萬大學獲得資訊技術學士學位，並於2005年在加爾各答西孟加拉科技大學獲得資訊技術碩士學位。他於2015年在印度工程與技術學院（Shibpur, Howrah）獲得計算機科學與技術博士學位。自2016年起，他在西孟加拉庫奇比哈政府工程學院的計算機科學與工程系擔任副教授。在此之前，他在布爾德萬大學的計算機科學與工程及資訊技術系擔任助理教授超過十年。他於2005年在印度加爾各答的Apices Consultancy Private Limited擔任初級程式設計師。他是一本書的共同作者，並擔任十六本書的共同編輯，擁有超過69篇在國際知名期刊、國際編輯書籍和國際IEEE會議論文集中的研究出版物，以及五項專利和三項著作權。他曾擔任多個國際IEEE會議的審稿人，並在一些知名國際期刊中擔任審稿人，如Applied Soft Computing、Elsevier、B. V.、Knowledge-Based Systems、Soft Computing Letters、Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization、Inderscience Journals等。他曾是多個國內外會議的組織和技術程序委員會成員，並受邀作為專家講者參加不同的研討會。他的研究興趣包括軟計算、模式識別、影像處理和資料挖掘。德博士是IEEE的高級會員，並且是ACM、工程師學會（IEI）、計算機科學教師協會（CSTA）、工程師學會和IAENG（香港）的成員。他是印度ISTE的終身會員。
德拉·蘇迪普·庫馬·阿迪卡里博士於維迪亞薩加大學獲得計算機科學與工程的B. Tech學位，並在賈達夫普爾大學獲得計算機科學與工程的M.E.和Ph.D.學位。他擁有超過18年的教學經驗。目前，他是印度庫奇比哈政府工程學院計算機科學與工程系的助理教授。他在知名國際期刊和會議上發表了超過十八篇研究論文。他的研究興趣包括醫學影像處理、模式識別、人工智慧和軟計算。他是IEEE的高級會員，也是工程師學會的成員。他曾擔任多個國際會議的審稿人，並在一些知名國際期刊中擔任審稿人，如Applied Soft Computing、Elsevier、IET Computer Vision、IEEE Access和IEEE Transaction on Fuzzy System等。他曾是多個國內外會議的組織和技術程序委員會成員，並受邀作為專家講者參加不同的研討會。
印德拉吉特·卡爾先生擁有計算生物學碩士學位和班加羅爾大學的科學學士學位。他是一位充滿活力的企業家，曾在西門子、埃森哲、IBM和Infinite Data Systems建立團隊。現在，他是Zensar Technologies的AI和ML全球負責人及副總裁，負責ZAIR和數據實踐。他已發表21篇研究論文，涵蓋大型語言模型、計算機視覺、自然語言處理和時間序列分析等主題，並在IEEE、Springer、Wiley和CRC等期刊上發表。他獲得了五項“最佳論文獎”，其中包括來自卡迪夫大學的一項。他是初創企業的導師，已指導兩家企業實現營收，並獲得多項榮譽，包括來自《Analytics India Magazine》的“40位40歲以下數據科學家”獎。他的獎項包括來自西門子的兩項IP Samman和服務卓越獎、來自埃森哲的增長市場獎，以及來自埃森哲、IBM、西門子醫療和惠普的各種創新和貢獻獎。他已管理超過30個AI/ML項目，並且是一位成功的作者，合著兩本書，其中一本是關於生成式AI的，並已發表19次演講和主題演講。作為Upgard數據科學課程的兼任教員，他擁有14項AI/ML專利。在他的領導下，他的團隊贏得了五項最佳團隊/項目獎，包括最佳AI/ML項目和維爾納·馮·西門斯獎。他的倡議使西門子被《Analytics India Magazine》評為頂尖數據科學公司。他已指導超過150名AI和ML的求職者，並在IIT Madras和PESIT等大學擔任演講者，為該領域的成長和創新做出貢獻。
