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Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning

机译：通过使用机器学习集成多个横向流量测定来改善Covid-19血清学测试性能

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Cody T. Mowery; Alexander Marson; Yun S. Song; Chun Jimmie Ye;
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1. Multiple test zones for improved detection performance in lateral flow assays [J] . Jie Hu, Jane Ru Choi, Shuqi Wang, Sensors and Actuators . 2017,第MAY期

机译：多个测试区，可提高侧向流动检测的检测性能
2. Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays [J] . Tania Marzia Hoque, Lwin Khin T., Shabut Antesar M., Expert Systems with Application . 2020,第Jana期

机译：使用机器学习框架进行侧向流动分析的基于图像的智能比色测试
3. Performance of antigen testing for diagnosis of COVID-19: a direct comparison of a lateral flow device to nucleic acid amplification based tests [J] . Kahn Maria, Schuierer Lukas, Bartenschlager Christina, BMC Infectious Diseases . 2021,第1期

机译：Covid-19诊断抗原试验的性能：横向流动装置对基于核酸扩增的直接比较
4. Prediction of COVID-19 Cases in Malaysia by Using Machine Learning: A Preliminary Testing [C] . Abrar Noor Akramin Kamarudin, Zurinahni Zainol, Nur Faeza Abu Kassim, International Conference of Women in Data Science at Taif University . 2021

机译：采用机器学习预测马来西亚的Covid-19例：初步测试
5. Optimization of Recombinant Flavivirus Antigens for Infection Serology: Towards Syndrome-Based Multiplex Tests [D] . Mora Cárdenas, Erick Noé. 2020

机译：感染血清学重组黄病毒抗原的优化：朝向综合征的多重试验
6. Meta-analysis of diagnostic performance of serology tests for COVID-19: impact of assay design and post-symptom-onset intervals [O] . Hongyu Wang, Jingwen Ai, Michael J. Loeffelholz, 2020

机译：Covid-19血清学试验诊断性能的Meta分析：测定设计和症状发作间隔的影响
7. Performance Evaluation of the Newly Developed In Vitro Rapid Diagnostic Test for Detecting OXA-48-Like, KPC-, NDM-, VIM- and IMP-Type Carbapenemases: The RESIST-5 O.K.N.V.I. Multiplex Lateral Flow Assay [O] . Junsung Hong, Dayoung Kang, Dokyun Kim 2021

机译：用于检测OXA-48样，KPC - ，NDM - ，Vim和Imp型碳结构酶的新开发的体外快速诊断试验的性能评价：抗蚀剂-5 o.k.n.v.i。多重横向流动测定

Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning

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