Hemogram-based decision tree models for discriminating COVID-19 from RSV in infants
Description
CONCLUSION: Random forest and optimized forest models might have significant clinical applications, helping to speed up decision-making when SARS-CoV-2 and RSV are suspected, prior to molecular genome sequencing and/or antigen testing.
