Selected article for: "sick patient and statistical information"
Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing
  • Document date: 2020_4_11
    • ID: f07zk05y_60
    Snippet: Finally, our GAMP-based approach uses statistical information about the probability of a patient being sick, ρ, and probabilities governing false positives and negatives, p 1 and p 2 . The algorithm can be improved using more information, for example statistical dependencies between household members being sick. We will integrate more predictive information to further improve estimation quality......
    Document: Finally, our GAMP-based approach uses statistical information about the probability of a patient being sick, ρ, and probabilities governing false positives and negatives, p 1 and p 2 . The algorithm can be improved using more information, for example statistical dependencies between household members being sick. We will integrate more predictive information to further improve estimation quality.

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