物联网如何实现增强型个性化医疗?

IF 5.6 3区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
IEEE Intelligent Systems Pub Date : 2018-01-01 Epub Date: 2018-05-08 DOI:10.1109/MIS.2018.012001556
Amit Sheth, Utkarshani Jaimini, Hong Yung Yip
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引用次数: 0

摘要

物联网是指由网络支持的技术,包括移动和可穿戴设备,这些设备能够感知和执行,并通过互联网与其他类似设备进行互动和通信。物联网正在深刻地重新定义我们创造、消费和共享信息的方式。普通公民越来越多地使用这些技术来跟踪自己的睡眠、食物摄入、活动、生命体征和其他生理状态。物联网系统不断收集和处理与人类健康有关的环境相关数据,对这一活动起到了补充作用。这种协同作用为新一代医疗保健解决方案创造了机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How Will the Internet of Things Enable Augmented Personalized Health?

How Will the Internet of Things Enable Augmented Personalized Health?

How Will the Internet of Things Enable Augmented Personalized Health?

The Internet of Things refers to network-enabled technologies, including mobile and wearable devices, which are capable of sensing and actuation as well as interaction and communication with other similar devices over the Internet. The IoT is profoundly redefining the way we create, consume, and share information. Ordinary citizens increasingly use these technologies to track their sleep, food intake, activity, vital signs, and other physiological statuses. This activity is complemented by IoT systems that continuously collect and process environment-related data that has a bearing on human health. This synergy has created an opportunity for a new generation of healthcare solutions.

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来源期刊
IEEE Intelligent Systems
IEEE Intelligent Systems 工程技术-工程:电子与电气
CiteScore
13.80
自引率
3.10%
发文量
122
审稿时长
1 months
期刊介绍: IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.
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