Internet of Things and Big Data Technologies for Next Generation Healthcare (Studies in Big Data)

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics.

 Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.

這本全面的書籍專注於提升醫療機構的大數據安全性。在廣泛介紹醫療物聯網（IoT）的基礎上，包括具有挑戰性的主題和情境，本書提供了對第五代IoT通信技術及其納米技術的醫療身體區域網絡的深入分析。它還描述了一個新穎的戰略框架和計算智能模型，以衡量在電子健康背景下可能存在的安全漏洞。此外，本書還討論了處理大量由患者記錄和健康/個人信息驅動的醫療系統，包括基於大數據的知識管理系統以支持臨床決策。書中介紹了存儲/處理大數據所面臨的幾個問題，以及處理這些問題的可用工具、技術和算法，並提供了一個醫療分析案例研究。

本書還關注信任、隱私和安全問題，以及IoT和大數據所帶來的挑戰，並突出了該領域的進展，以指導工程師開發不同的IoT設備並評估不同的IoT技術的性能。此外，它探討了這些技術對公共、私人、社區和混合場景在醫療領域的影響。本書為專業人士、科學家和工程師提供了最新的IoT和大數據技術、技巧和策略。