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Smart pooling: AI-powered COVID-19 informative group testing
María Escobar
, Guillaume Jeanneret
, Laura Bravo-Sánchez
, Angela Castillo
, Catalina Gómez
, Diego Valderrama
, Mafe Roa
, Julián Martínez
, Jorge Madrid-Wolff
, Martha Cepeda
, Marcela Guevara-Suarez
, Olga L. Sarmiento
, Andrés L. Medaglia
, Manu Forero-Shelton
,
Mauricio Velasco
, Juan M. Pedraza
, Rachid Laajaj
, Silvia Restrepo
, Pablo Arbelaez
Universidad de los Andes
Johns Hopkins University
École Polytechnique Fédérale de Lausanne
Universidad de los Andes Colombia
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Scopus citations
Overview
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Weight
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Mathematics
Efficiency
100%
Group tests
100%
Negative Error
20%
False Negative
20%
Predictor
20%
Error Rate
20%
Neuroscience
Gene
100%
Immunology and Microbiology
Dilution
33%
Quantitative Reverse Transcription Polymerase Chain Reaction
33%
Incidence
33%
Medicine and Dentistry
False Negative Result
33%
Incidence
33%
Computer Science
False Negative Error
16%