A novel prediction method for lymph node involvement in endometrial cancer: machine learning - Günakan, Emre; Atan, Suat; Haberal, Asuman Nihan; Küçükyıldız, İrem Alyazıcı; Gökçe, Ehad; Ayhan, Ali (International journal of gynecological cancer, 2019)
Keywords: Accuracy; Adult; Aged; Aged, 80 and over; Algorithms; Datasets; Endometrial cancer; Endometrial Neoplasms - pathology; Endometrial Neoplasms - surgery; Female; Follow-Up Studies; Gynecology; Histology; Humans; Lymph Node Excision; lymph node involvement; lymph node status; Lymph Nodes - pathology; Lymph Nodes - surgery; Lymphatic system; Machine Learning; Middle Aged; Models, Statistical; Multivariate analysis; Ovaries; Patients; Predictive Value of Tests; Retrospective Studies; Statistical analysis; Surgery; endometrial cancer; lymph node status; machine learning; lymph node involvement