Table 2 Entire dataset, training sets, and validation sets for the two waves that occurred during the Brazilian COVID-19 outbreak.
From: Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning
CBC (+) | CBC (−) | |||||
|---|---|---|---|---|---|---|
Gender | COVID-19 (+) | COVID-19 (−) | Influenza-A (+) | Influenza-B (+) | Influenza-H1N1 (+) | Other viruses (+) |
Entire data | ||||||
Male | 11.3% | 34.0% | 46.7% | 46.5% | 48.4% | 59.5% |
(122,793) | (369,787) | (3160) | (1384) | (4108) | (20,107) | |
Female | 10.3% | 44.4% | 53.3% | 53.5% | 51.6% | 40.5% |
(111,673) | (482,453) | (3604) | (1588) | (4380) | (13,691) | |
Training set: first wave data | ||||||
Male | 12.9% | 9.8% | 4.2% | 2.1% | 6.0% | 12.8% |
(5859) | (4469) | (1895) | (975) | (2742) | (5825) | |
Female | 12.1% | 15.2% | 4.9% | 2.8% | 6.9% | 10.3% |
(5527) | (6918) | (2223) | (1214) | (3118) | (4656) | |
Validation set: first wave data | ||||||
Male | 4.9% | 37.6% | 1.0% | <0.1% | 1.4% | 2.3% |
(5808) | (44,637) | (1113) | (188) | (1660) | (2710) | |
Female | 4.7% | 43.4% | 1.1% | <0.1% | 1.6% | 1.7% |
(5647) | (51,550) | (1343) | (134) | (1842) | (2028) | |
Training set: second wave data | ||||||
Male | 25.9% | 10.5% | 2.0% | 1.0% | 3.1% | 6.3% |
(24,104) | (9770) | (1895) | (975) | (2742) | (5825) | |
Female | 24.2% | 15.1% | 2.3% | 1.3% | 3.3% | 5.0% |
(22,404) | (14,088) | (2223) | (1214) | (3118) | (4656) | |
Validation set: second wave data | ||||||
Male | 4.5% | 38.9% | 0.4% | <0.1% | 0.6% | 1.0% |
(11,860) | (101,655) | (1113) | (188) | (1660) | (2710) | |
Female | 4.3% | 48.1% | 0.5% | <0.1% | 0.7% | 0.8% |
(11,021) | (125,776) | (1343) | (134) | (1842) | (2028) | |
