“Machine Learning Model Using Complete Blood Count Parameters Effectively Predicts COVID-19 Diagnosis”

https://pubmed.ncbi.nlm.nih.gov/38114942

This study found that a machine learning model using Complete Blood Count parameters, specifically the XGBoost algorithm, can effectively predict COVID-19 diagnosis with high accuracy, offering a potential innovative tool to enhance diagnostic precision and improve patient outcomes.