Practical Artificial Intelligence for Internet of Medical Things: Emerging Trends, Issues, and Challenges
暫譯: 醫療物聯網的實用人工智慧:新興趨勢、問題與挑戰

Soufiene, Ben Othman, Chakraborty, Chinmay, Almalki, Faris A.

  • 出版商: CRC
  • 出版日期: 2023-02-28
  • 售價: $5,420
  • 貴賓價: 9.5$5,149
  • 語言: 英文
  • 頁數: 324
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032325275
  • ISBN-13: 9781032325279
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

Features:

  • Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services
  • Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes
  • Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life
  • Introduces fundamental concepts for designing the Internet of Healthcare Things solutions
  • Includes pertinent case studies and applications

This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

商品描述(中文翻譯)

本書涵蓋了智能醫療領域中人工智慧(AI)和物聯網(IoT)的基本原理、應用、演算法、協議、新興趨勢、問題及研究成果。內容包括案例研究、使用AI實施和管理智能醫療系統。各章節專注於AI在醫療物聯網中的應用,提供實作範例,展示如何利用不同類型的醫療數據來開發模型並使用機器學習和AI預測疾病,並結合真實世界的例子。本書的目標讀者為計算機工程、人工智慧與機器學習、生物醫學工程及生物資訊學的研究人員和研究生。

特色:
- 專注於醫療物聯網及為醫療服務應用開發的創新解決方案
- 討論人工智慧的應用、實驗、核心概念及前沿主題
- 展示使用AI分析醫療數據和識別疾病的新方法,以改善整體生活品質
- 介紹設計醫療物聯網解決方案的基本概念
- 包含相關的案例研究和應用

本書的目標讀者為計算機工程、人工智慧與機器學習、生物醫學工程及生物資訊學的研究人員和研究生。

作者簡介

Ben Othman Soufiene is an Assistant Professor of computer science at the University of Gabes, Tunisia from 2016 to 2021. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on "Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. His research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data.

Chinmay Chakraborty is an Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Post-doctoral fellow of Federal University of Piauí, Brazil. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, mHealth/e-health, and medical imaging. Dr. Chakraborty is co-editing many books on Smart IoMT, Healthcare Technology and Sensor Data Analytics with CRC Press, IET, Pan Stanford and Springer. Dr. Chakraborty has published more than 150 papers at reputed international journals, conferences, book chapters, more than 30 books and more than 20 special issues. He received a Young Research Excellence Award, Global Peer Review Award, Young Faculty Award and Outstanding Researcher Award.

Faris A. Almalki is an assistant professor in wireless communications and drones at Computer Engineering Dep. at Taif University, a research fellow in the Dep. of Electronic and Computer Engineering at Brunel University London. He holds a BSc in Computer Engineering from Taif University, an MSc in Broadband and Mobile Communication Networks from Kent University and a PhD in Wireless Communication Networks from Brunel University London. He is a Member of the IEEE Communication Society.

作者簡介(中文翻譯)

Ben Othman Soufiene 是突尼西亞加貝斯大學的計算機科學助理教授,任職於2016年至2021年。他於2016年在馬努巴大學獲得計算機科學博士學位,論文主題為「無線感測器網路中的安全數據聚合」。他還於2012年在莫納斯提爾大學獲得碩士學位。他的研究興趣集中在醫療物聯網(Internet of Medical Things)、無線人體感測網路(Wireless Body Sensor Networks)、無線網路、人工智慧(Artificial Intelligence)、機器學習(Machine Learning)和大數據(Big Data)上。

Chinmay Chakraborty 是印度BIT Mesra電子與通信工程系的助理教授,同時也是巴西皮奧伊聯邦大學的博士後研究員。他的主要研究領域包括無線人體區域網路(Wireless Body Area Network)、醫療物聯網(Internet of Medical Things)、即時診斷(point-of-care diagnosis)、移動健康/電子健康(mHealth/e-health)和醫療影像(medical imaging)。Chakraborty博士與CRC Press、IET、Pan Stanford和Springer共同編輯多本關於智慧醫療物聯網(Smart IoMT)、醫療技術(Healthcare Technology)和感測數據分析(Sensor Data Analytics)的書籍。Chakraborty博士在知名國際期刊、會議、書籍章節上發表了超過150篇論文,出版了超過30本書籍和20多個特刊。他獲得了青年研究卓越獎(Young Research Excellence Award)、全球同行評審獎(Global Peer Review Award)、青年教師獎(Young Faculty Award)和傑出研究者獎(Outstanding Researcher Award)。

Faris A. Almalki 是塔伊夫大學計算機工程系的無線通信和無人機助理教授,同時也是倫敦布魯內爾大學電子與計算機工程系的研究員。他擁有塔伊夫大學的計算機工程學士學位、肯特大學的寬頻和移動通信網路碩士學位,以及倫敦布魯內爾大學的無線通信網路博士學位。他是IEEE通信學會的成員。