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Trends and Challenges in Smart Healthcare Research: A Journey from Data to Wisdom

机译:智能医疗保健研究中的趋势与挑战:从数据到智慧的旅程

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Smart Healthcare is a relatively new context-aware healthcare paradigm influenced by several fields of knowledge, namely medical informatics, communications and electronics, bio-engineering, ethics and so on. Thus, many challenging problems are related to smart healthcare but in many cases they are explored individually in their respective fields and, as a result, they are not always known by the smart healthcare research community working in more specific domains. The aim of this article is to identify some of the most relevant trends and research lines that are going to affect the smart healthcare field in the years to come. To do so, the article considers a systematic approach that classifies the identified research trends and problems according to their appearance within the data life cycle, this is, from the data gathering in the physical layer (lowest level) until their final use in the application layer (highest level). By identifying and classifying those research trends and challenges, we help to pose questions that the smart healthcare community will need to address. Consequently, we set a common ground to explore important problems in the field, which will have significant impact in the years to come.
机译:智能医疗保健是一个相对较新的背景感知医疗保护范式,受几个知识领域的影响,即医疗信息学,通信和电子,生物工程,道德等。因此,许多具有挑战性的问题与智能医疗保健有关,但在许多情况下,他们在各自的领域中单独探讨,因此它们并不总是在更具体的域中工作的智能医疗保健研究界所知。本文的目的是确定未来几年智能医疗领域的一些最相关的趋势和研究线。为此,文章考虑了一个系统的方法,根据其在数据生命周期内的外观上分类了所识别的研究趋势和问题,这是从物理层(最低级别)中的数据收集到应用程序中的最终使用层(最高级别)。通过识别和分类这些研究趋势和挑战,我们帮助提出智能医疗社区需要解决的问题。因此,我们设立了一个共同的基础,探讨了该领域的重要问题,这将在未来几年产生重大影响。

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