Machine learning-based prediction of clinical outcomes in cervical cancer using routine hematological indices: development and web implementation

Comprehensive hematological profiling enables accurate prediction of cervical cancer invasiveness and survival during different decision-making periods. Our ML-enhanced, web-implemented models can enhance risk stratification and clinical decisions, particularly in resource-limited settings.