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Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study
BACKGROUND: The Flexible Adaptive Algorithmic Surveillance Testing (FAAST) program represents an innovative approach for improving the detection of new cases of infectious disease; it is deployed here to screen and diagnose SARS-CoV-2. With the advent of treatment for COVID-19, finding individuals i...
Autores principales: | Rayo, Michael F, Faulkner, Daria, Kline, David, Thornhill IV, Thomas, Malloy, Samuel, Della Vella, Dante, Morey, Dane A, Zhang, Net, Gonsalves, Gregg |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430782/ https://www.ncbi.nlm.nih.gov/pubmed/37581924 http://dx.doi.org/10.2196/39754 |
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