Research Article

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

Table 8

Evaluation results for model predictions with the regular ward data group (patients testing positive for SARS-CoV-2) after tuning parameters.

VariablesModelPrecisionRecallF1 scoreAccuracyAUC

14 different blood countsSVM1.000.750.860.89
14 different blood countsKNN0.750.750.750.78