Clinical Hematochemical Parameters in Differential Diagnosis between Pediatric SARS-CoV-2 and Influenza Virus Infection: An Automated Machine Learning Approach.

Dejan DobrijevićJelena AntićGoran RakićJasmina KatanićLjiljana AndrijevićKristian Pastor

Published in: Children (Basel, Switzerland) (2023)

The application of automated machine learning in clinical practice can contribute to more objective, accurate, and rapid diagnosis of SARS-CoV-2 and influenza virus infections in children.

Keyphrases

sars cov
machine learning
clinical practice
respiratory syndrome coronavirus
artificial intelligence
big data
deep learning
young adults
high resolution
high throughput
coronavirus disease