An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer

PURPOSE: To build a machine learning model to predict histology (type I and type II), stage, and grade preoperatively for endometrial carcinoma to quickly give a diagnosis and assist in improving the accuracy of the diagnosis, which can help patients receive timely, appropriate, and effective treatm...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Ying, Wang, Zhixiang, Xiao, Meizhu, Li, Jinfeng, Su, Yuan, Delvoux, Bert, Zhang, Zhen, Dekker, Andre, Xanthoulea, Sofia, Zhang, Zhiqiang, Traverso, Alberto, Romano, Andrea, Zhang, Zhenyu, Liu, Chongdong, Gao, Huiqiao, Wang, Shuzhen, Qian, Linxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196302/
https://www.ncbi.nlm.nih.gov/pubmed/35712473
http://dx.doi.org/10.3389/fonc.2022.904597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196302/
https://www.ncbi.nlm.nih.gov/pubmed/35712473
http://dx.doi.org/10.3389/fonc.2022.904597

Ejemplares similares