利用免疫层析和机器学习检测SARS-CoV-2的诊断口罩

2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) Pub Date : 2021-09-24 DOI:10.1109/IEMENTech53263.2021.9614726

S. Bishnu, Ritwika Das, Rohit Ganguly, Ritoban Biswas, Rivu Bose, Sudipta Dhar, Sutapa Ray

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引用次数: 1

摘要

在致命的COVID-19大流行形势下，病例数量的增加是一个主要问题，特别是在不易获得检测、不方便以及需要很长时间才能宣布结果的地方。我们提出了一种解决方案，通过这种解决方案，个人可以在口罩的帮助下轻松进行测试。它不涉及任何危险，并节省了立即治疗阳性患者的时间。为了提高产品的效率，我们还结合了一个使用机器学习的预测模型，该模型基于现实生活场景产生结果。

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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Diagnostic Mask For SARS-CoV-2 Detection Using Immunochromatography and Machine Learning

Amidst the deadly COVID-19 pandemic situation, the increasing number of cases is a major concern especially at places where tests are not available easily, are inconvenient and results take a long time to be declared. We present a solution by which tests can be performed easily by individuals with the aid of a mask. It involves no hazard and saves time for immediate treatment of positive patients. To enhance the efficiency of the product, we have also incorporated a predictive model using machine learning which produces outcome based on real life scenarios.

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2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech)

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