Hemogram-based decision tree models for discriminating COVID-19 from RSV in infants.

Dejan DobrijevićLjiljana AndrijevićJelena AntićGoran RakićKristian Pastor

Published in: Journal of clinical laboratory analysis (2023)

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.

Keyphrases

sars cov
decision making
climate change
respiratory syncytial virus
respiratory syndrome coronavirus
respiratory tract
coronavirus disease
pulmonary embolism
single cell
gene expression