Research Article

SARS-CoV-2 Prediction Strategy Based on Classification Algorithms from a Full Blood Examination

Table 6

The 14 variables (14 different blood counts) in the construction of the predictive model (community data), ranked according to the best dependency test scores (ANOVA test) with the target (SARS-CoV-2).

Feature nameScore

Leukocytes375.774996
Monocytes228.273420
Platelets225.528765
Eosinophils46.271648
Mean platelet volume34.246066
Mean corpuscular hemoglobin (MCH)12.148960
Hemoglobin10.499801
Red blood cell distribution width (RDW)10.174787
Basophils8.583406
Hematocrit7.795479
Mean corpuscular volume (MCV)6.610441
Lymphocytes6.433391
Mean corpuscular hemoglobin concentration (MCHC)6.345696
Red blood cells1.443602