Development of a machine learning model for risk stratification of cervical cancer based on cross-sectional data
Cervical cancer ranks as the fourth most common malignancy among women worldwide, with particularly poor prognosis and high rates of late-stage diagnosis in low- and middle-income countries. The current FIGO staging system has limited prognostic precision at the individual-level risk assessment, underscoring the...