AUTHOR=Zhao Huan , Wang Yuling , Sun Yilin , Wang Yongqiang , Shi Bo , Liu Jian , Zhang Sai TITLE=Hematological indicator-based machine learning models for preoperative prediction of lymph node metastasis in cervical cancer JOURNAL=Frontiers in Oncology VOLUME=Volume 14 - 2024 YEAR=2024 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2024.1400109 DOI=10.3389/fonc.2024.1400109 ISSN=2234-943X ABSTRACT=accuracy (0.831, 95% CI: 0.702-0.960), specificity (0.835, 95% CI: 0.708-0.962), sensitivity (0.831, 95% CI: 0.702-0.960), and F1-score (0.829, 95% CI: 0.696-0.962). RF had the highest AUC in the testing set (AUC = 0.854).RF based on preoperative hematological indicators that are easily available in clinical practice showed superior performance in the preoperative prediction of CC LNM.However, investigations on larger external cohorts of patients are required for further validation of our findings.