Author: Felipe Soares; Aline Villavicencio; Michel Jose Anzanello; Flavio Sanson Fogliatto; Marco Idiart; Mark Stevenson
Title: A novel high specificity COVID-19 screening method based on simple blood exams and artificial intelligence Document date: 2020_4_14
ID: 2s5xd1oc_42
Snippet: After running these steps for ER-CoV, as depicted in Figure 2 , we computed the average of the aforementioned statistics and their 95% confidence interval evaluated through BCa bootstrapping on the statistics collected from the 100 runs of ER-CoV with sample randomization 18 . All models and statistics were obtained using R (version 3.6.3). information given regarding the variable. Information on gender, race, and possible time of infection were .....
Document: After running these steps for ER-CoV, as depicted in Figure 2 , we computed the average of the aforementioned statistics and their 95% confidence interval evaluated through BCa bootstrapping on the statistics collected from the 100 runs of ER-CoV with sample randomization 18 . All models and statistics were obtained using R (version 3.6.3). information given regarding the variable. Information on gender, race, and possible time of infection were not available.
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