American Journal of Clinical Oncology
Combining Statistical Modeling and Machine Learning for Prognostic Feature Selection in Cervical Cancer
Objectives: Cervical cancer is a leading female malignancy with high global morbidity/mortality, and remains high recurrence risk after standard treatment. Accurate prognostic feature identification is critical for personalized therapy and patient survival improvement, while traditional indicators and single biomarkers lack sufficient accuracy in prognostic prediction. Methods: In this population-based retrospective study, we analyzed 5392 patients with cervical squamous cell carcinoma from the surveillance, epidem …