Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.
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DOI：
10.3390/diagnostics11071155
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发表时间：
2021-06-24
期刊：
影响因子：
--
通讯作者：
El-Sappagh S
中科院分区：
文献类型：
--
作者：
El-Rashidy N;Abdelrazik S;Abuhmed T;Amer E;Ali F;Hu JW;El-Sappagh S
自2019年12月以来，全球健康人群面临冠状病毒病（COVID-19）的快速传播。随着感染病例数量的逐步加速，世界卫生组织（WHO）已将COVID-19报告为一种流行病，给几乎每个国家的医疗保健部门带来沉重负担。在这种背景下，人工智能（AI）的潜力很难被忽视。人工智能公司一直在竞相开发创新工具，帮助世界抵御这一流行病，并将其可能造成的破坏降至最低。这项研究的主要目的是调查人工智能作为对抗COVID-19大流行的技术的决定性作用。发现了人工智能在COVID-19中的五个重要应用，包括（1）使用各种数据类型（例如，图像、声音和文本）;（2）根据当前确诊病例估计疾病未来可能的传播;（3）COVID-19感染与患者特征之间的关联;（4）疫苗开发和药物相互作用;（5）支持应用的开发。本研究还介绍了当前COVID-19数据集之间的比较。基于现有文献的局限性，本文综述了可能激发人工智能在COVID-19中未来应用的开放性研究挑战。
Since December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the number of infected cases, the World Health Organization (WHO) has reported COVID-19 as an epidemic that puts a heavy burden on healthcare sectors in almost every country. The potential of artificial intelligence (AI) in this context is difficult to ignore. AI companies have been racing to develop innovative tools that contribute to arm the world against this pandemic and minimize the disruption that it may cause. The main objective of this study is to survey the decisive role of AI as a technology used to fight against the COVID-19 pandemic. Five significant applications of AI for COVID-19 were found, including (1) COVID-19 diagnosis using various data types (e.g., images, sound, and text); (2) estimation of the possible future spread of the disease based on the current confirmed cases; (3) association between COVID-19 infection and patient characteristics; (4) vaccine development and drug interaction; and (5) development of supporting applications. This study also introduces a comparison between current COVID-19 datasets. Based on the limitations of the current literature, this review highlights the open research challenges that could inspire the future application of AI in COVID-19.
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影响因子：
5.2
作者：
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DOI：
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期刊：
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影响因子：
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