COVID-19诊断方法综述

Reyhaneh Yaghobzadeh, Seyyed Reza Kamel, K. Shirazi
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引用次数: 0

摘要

新型冠状病毒病2019 (COVID-19)最近成为一种急性呼吸道综合征。自该疾病在中国武汉首次暴发以来,该病毒已传播到世界各地。作为该疾病对世界各地特定人群的最重要威胁,该流行病导致死亡率上升。此外,COVID-19在一些国家造成了严重的经济问题。COVID-19的早期诊断目前是医生和社区关注的一个重要问题。本研究旨在回顾截至2020年2月底的有关COVID-19诊断的已发表文章。根据结果,我们表明深度学习和机器学习算法可以有效地用于疾病的范围。
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A Review of COVID-19 Diagnostic Methods
: The new coronavirus disease 2019 (COVID-19) has recently emerged as an acute respiratory syndrome. The virus has spread throughout the world since the primary outbreak of the disease reported in Wuhan, China. The pandemic has led to increased mortality as the most important threat of the disease in specific populations across the world. Furthermore, COVID-19 has caused significant economic problems in several countries. The early diagnosis of COVID-19 is currently an important concern for physicians and communities. The present study aimed to review the published articles regarding the diagnosis of COVID-19 until the end of February 2020. According to the results we show that deep learning and machine learning algorithms can be effectively used to the scope of the disease.
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