COVID 19 Detection Application at Siti Fatimah Hospital Method of Using Deep Learning

Jayah Jayah, Leni Novianti
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Abstract

12 March 2021 WHO (Whorld Health Organization) declared Covid-19 a pandemic. The SARS-CoV-2 virus has infected 5,817,317 people with 216 countries infected as of May 28, 2020. For this reason, a solution is needed to break this covid chain, one of which is a detection application that can be used as a supporter in decision making to find out people who are infected. indicated this covid-19. This research was conducted at Siti Fatimah Hospital, South Sumatra Province using the method Machine learning by using yahoo Convolutional Neural Network (CNN) which is used as image process.
基于深度学习的新型冠状病毒检测在西蒂法蒂玛医院的应用
2021年3月12日,世卫组织宣布Covid-19为大流行。截至2020年5月28日,全球共有216个国家的5817317人感染了新冠病毒。因此,需要打破这条covid链的解决方案,其中之一是可以作为决策支持者的检测应用程序,以找出感染者。表示这是covid-19。本研究在南苏门答腊省Siti Fatimah医院进行,使用yahoo卷积神经网络(CNN)作为图像处理的机器学习方法。
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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