Digital Future of Healthcare
暫譯: 數位醫療的未來

本書專注於數位平台在醫療保健領域的應用。它描述了數位醫療中使用的各種設備、其優點、診斷、在治療中的應用，以及與行動醫療相關的使用案例。此外，本書涵蓋了與數位醫療相關的機器學習和深度學習、區塊鏈技術、大數據分析、遠程醫療技術，以及在推拉式藥品行銷領域的數位應用。總體而言，本書使讀者能夠理解在醫療領域中使用數位技術進行決策過程的基本知識。

特色：
- 討論醫療系統數位化的各個方面
- 檢視機器學習的部署，包括物聯網（IoT）和醫療分析
- 提供有關智能醫療系統的設計、實施、開發和管理的研究
- 包含基於感測器的醫療數據數位化
- 回顧醫療領域數位通信的即時進展和挑戰

本書旨在針對醫療、物聯網、機器學習、計算機科學、機器人技術、可穿戴設備、電機工程和生物醫學工程的研究人員和研究生。

Nilanjan Dey, PhD. is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is an Adjunct Professor of Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 90 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing--Young ICT Group and Senior member of IEEE.

Nabanita Das is an Asst. Professor in department of Computer Science and Engineering, Bengal Institute of Technology, India. She is currently a Ph.D. Research Scholar with the Department of Computer Science and Engineering, Gandhi Institute of Technology, Orissa, India. She received the M.Tech. degree from MAKAUT, West Bengal, India, and has more than ten years of teaching experience. She is actively involved in research in the domains of the Machine Learning, IoT, Software Engineering, Computer Aided Diagnosis.

Jyotismita Chaki, PhD. is an Assistant Professor in School of Information Technology and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored many international conferences and journal papers. She is the author of the following books titled: (1) A Beginner's Guide to Image Preprocessing Techniques from CRC Press, Taylor and Francis and (2) A Beginner's Guide to Image Shape Feature Extraction Techniques from CRC Press, Taylor and Francis, (3) Texture Feature Extraction Techniques for Image Recognition (Springer), (4) Image Color Feature Extraction Techniques: Fundamentals and Applications (Springer), (5) Artificial Intelligence for Coronavirus Outbreak (Springer). She has edited the following books titled: (1) Smart Biosensors in Medical Care (Elsevier) and (2) Sensors for Health Monitoring (Elsevier). Currently she is the Associate Editor of Array journal, Elsevier and IET Image Processing Journal (IF: 1.995).

Nilanjan Dey 博士是印度加爾各答 JIS 大學計算機科學與工程系的副教授。他是英國雷丁大學的訪問研究員，也是越南胡志明市的 Ton Duc Thang 大學的兼任教授。此前，他曾在美國加州的 Global Biomedical Technologies Inc. 擔任訪問科學家（2012-2015）。他於 2015 年在 Jadavpur 大學獲得博士學位。他與 Elsevier、Wiley、CRC Press 和 Springer 合著或編輯了超過 90 本書籍，並發表了超過 300 篇論文。他是《國際環境計算與智能期刊》（International Journal of Ambient Computing and Intelligence，IGI Global）的主編、《IEEE Access》和《國際信息技術期刊》（International Journal of Information Technology，Springer）的副編輯。他是 Springer Tracts in Nature-Inspired Computing（Springer）的系列共同編輯、Healthcare 物聯網應用進展（Advances in Ubiquitous Sensing Applications for Healthcare，Elsevier）的系列共同編輯，以及計算智能在工程問題解決和智能信號處理與數據分析中的系列編輯（CRC）。他的主要研究興趣包括醫學影像、機器學習、計算機輔助診斷、數據挖掘等。他是國際信息處理聯合會青年 ICT 組的印度大使，也是 IEEE 的高級會員。

Nabanita Das 是印度孟加拉技術學院計算機科學與工程系的助理教授。她目前是印度奧里薩邦甘地技術學院計算機科學與工程系的博士研究生。她獲得了印度西孟加拉 MAKAUT 的碩士學位，並擁有超過十年的教學經驗。她積極參與機器學習、物聯網、軟體工程和計算機輔助診斷等領域的研究。

Jyotismita Chaki 博士是印度維洛爾技術學院信息技術與工程學院的助理教授。她在印度加爾各答的 Jadavpur 大學獲得了工程博士學位。她的研究興趣包括：計算機視覺與影像處理、模式識別、醫學影像、人工智能和機器學習。她發表了許多國際會議和期刊論文。她是以下書籍的作者：（1）《影像預處理技術入門指南》（A Beginner's Guide to Image Preprocessing Techniques，CRC Press, Taylor and Francis）和（2）《影像形狀特徵提取技術入門指南》（A Beginner's Guide to Image Shape Feature Extraction Techniques，CRC Press, Taylor and Francis），（3）《影像識別的紋理特徵提取技術》（Texture Feature Extraction Techniques for Image Recognition，Springer），（4）《影像顏色特徵提取技術：基礎與應用》（Image Color Feature Extraction Techniques: Fundamentals and Applications，Springer），（5）《針對冠狀病毒疫情的人工智能》（Artificial Intelligence for Coronavirus Outbreak，Springer）。她編輯了以下書籍：（1）《醫療護理中的智能生物傳感器》（Smart Biosensors in Medical Care，Elsevier）和（2）《健康監測的傳感器》（Sensors for Health Monitoring，Elsevier）。目前，她是 Elsevier 的 Array 期刊和 IET 影像處理期刊（IF: 1.995）的副編輯。