利用数据挖掘和血液检测提高Covid-19快速抗原检测的准确性

G. Popov, O. Nakov, Antoaneta Popova
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引用次数: 0

摘要

聚合酶链反应检测已知能给出最准确的结果,但不适合大规模检测。本文建议使用数据提取来诊断Covid-19。为此目的,对快速抗原试验、外部感染迹象和一般血球计数的数据进行处理。结果是抗原检测的可靠性从50%提高到72%以上。该系统的未来发展是产生关于Covid-19复杂应用可能性的假设。聚合酶链反应检测已知能给出最准确的结果,但不适合大规模检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Accuracy of Rapid Antigen Tests for Covid-19 using Data Mining and Blood Test
PCR tests are known to give the most accurate results, but are not suitable for mass testing. This article suggests the use of data extraction to diagnose Covid-19. For this purpose, data from rapid antigen tests, external signs of infection and general blood count are processed. The result is that the reliability of antigen tests increases from 50% to over 72%. The future development of the system is to generate a hypothesis about the likelihood of complex application of Covid-19. PCR tests are known to give the most accurate results, but are not suitable for mass testing.
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