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.