智能医疗系统的组成部分、挑战和机遇

IF 2.1 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2022-12-26 DOI:10.1109/ICJECE.2022.3220700

Mohammad A. R. Abdeen;Mohamed Hossam Ahmed;Hafez Seliem;Tarek Rahil Sheltami;Turki M. Alghamdi

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引用次数: 1

摘要

智能健康是一种相对较新的模式，利用信息和通信技术来改善医疗保健和医疗服务。在这篇文章中，我们对智能健康系统、其组件、架构、技术、好处、应用、挑战和机遇进行了基于文献的概述。此外，我们还讨论了大数据、数据分析、人工智能（AI）和机器学习（ML）在智能健康系统中的潜在优势。此外，我们讨论了挑战以及需要进一步调查的开放研究问题，以促进智能卫生系统的实施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Smart Health Systems Components, Challenges, and Opportunities

Smart health is a relatively new paradigm where information and communication technology is utilized to improve health care and medical services. In this article, we provide a literature-based overview of smart health systems, their components, architecture, technologies, benefits, applications, challenges, and opportunities. In addition, we discuss the potential benefits of big data, data analytics, artificial intelligence (AI), and machine learning (ML) in smart health systems. Moreover, we discuss the challenges as well as the open research issues that need further investigation to facilitate the implementation of smart health systems.

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