Maternal perinatal risk factors and full-term neonatal early-onset sepsis: A novel prediction model based on machine learning

This study demonstrates that machine learning models based on maternal factors have the potential to serve as high-sensitivity screening tools for EOS. Tuning the decision threshold is a critical step to maximize clinical utility, which involves a necessary trade-off between sensitivity and specificity. This approach provides a framework for developing and evaluating clinically-oriented prediction models to improve neonatal care.