Innovative Smart Healthcare and Bio-Medical Systems: Ai, Intelligent Computing and Connected Technologies
Salem, Abdel-Badeeh
- 出版商: CRC
- 出版日期: 2023-01-09
- 售價: $2,150
- 貴賓價: 9.5 折 $2,043
- 語言: 英文
- 頁數: 250
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367686279
- ISBN-13: 9780367686277
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相關主題
商品描述
Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT).
This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems.
It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.
商品描述(中文翻譯)
智慧醫療系統（SHS）和人工智慧（AI）領域的進展凸顯了ICT系統的需求，這些系統不僅旨在改善人類生活質量，還要提高安全性。SHS匯集了通信和網絡系統、計算機科學、生命科學和醫療保健等多個領域的概念和方法。著名的智慧醫療範例包括：實時監測設備、計算機輔助手術設備、遠程醫療設備、基於人群的護理設備、從機器學習角度的個性化醫學、普遍智能計算、專家決策支持系統、Health 2.0和物聯網（IoT）。
本書介紹了部署智能計算、信息和網絡技術以幫助預防疾病、改善護理質量和降低總體成本的模型。它還討論了在開發SHS中使用的AI範例、計算智能和機器學習技術的潛在作用。它將提供智慧醫療和生物醫學系統中潛在技術使用的示例。
對於從事智慧醫療系統研究和專業工作的研究人員和專業人士來說，這本書將是一本重要的閱讀資料，同時也適用於從事網絡、人工智慧和醫療保健等個別領域工作的人，他們想了解跨學科方法如何增強當前技術。
作者簡介
Prof. Abdel-Badeeh M. Salem is a full Professor of Computer Science since 1989 at Ain Shams University, Egypt. His research includes intelligent computing, biomedical informatics, big data analytics, intelligent education and smart learning systems, information mining, knowledge engineering and biometrics. He is founder of the Artificial Intelligence and Knowledge Engineering Research Labs, Ain Sham University, Cairo, Egypt & Chairman of Working Group on Bio-Medical Informatics, ISfTeH, Belgium. He is a member of the Editorial Board of 50 international and national journals, and has published 105 indexed papers.
作者簡介(中文翻譯)
Prof. Abdel-Badeeh M. Salem自1989年起擔任埃及Ain Shams大學的計算機科學教授。他的研究領域包括智能計算、生物醫學信息學、大數據分析、智能教育和智能學習系統、信息挖掘、知識工程和生物特徵識別。他是埃及開羅Ain Sham大學人工智能和知識工程研究實驗室的創始人，也是比利時ISfTeH生物醫學信息學工作組的主席。他是50個國際和國內期刊的編輯委員會成員，並發表了105篇索引論文。
