Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing Document date: 2020_4_11
ID: f07zk05y_4
Snippet: Noiseless group testing has been established, but noisy group testing algorithms are less mature. For example, recent work on COVID-19 [2] , [3] uses pooled tests to rule out patients corresponding to negative pooled measurements. Their approach implicitly relies on false negatives being rare in RT-PCR, but diluting many samples may increase false negatives [4] . Additionally, patients corresponding to positive pooled measurements are later teste.....
Document: Noiseless group testing has been established, but noisy group testing algorithms are less mature. For example, recent work on COVID-19 [2] , [3] uses pooled tests to rule out patients corresponding to negative pooled measurements. Their approach implicitly relies on false negatives being rare in RT-PCR, but diluting many samples may increase false negatives [4] . Additionally, patients corresponding to positive pooled measurements are later tested individually [3] , which does not benefit from pooling. Our algorithm (Sec. III) applies pooling to identify individual sick patients.
Search related documents:
Co phrase search for related documents- later test and test pool: 1
- noiseless group testing and recent work: 1
- noiseless group testing and Sec algorithm: 1
- noiseless group testing and test pool: 1
- recent work and Sec algorithm: 1
- recent work and sick patient: 1
Co phrase search for related documents, hyperlinks ordered by date