Application of Arti fi cial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers
Application of Arti fi cial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers
Eiryo Kawakami,Junya Tabata,13 Authors,A. Okamoto
18 Citations
TLDR
Ensemble meth-ods combining weak decision trees, such as GBM, RF, and CRF, showed the best performance in EOC prediction, and machine learning systems can provide critical diagnostic and prognostic prediction for patients with EOC before initial intervention.