The innovative model based on artificial intelligence algorithms to predict recurrence risk of patients with postoperative breast cancer

The innovative model based on artificial intelligence algorithms to predict recurrence risk of patients with postoperative breast cancer

PurposeThis study aimed to develop a machine learning model to retrospectively study and predict the recurrence risk of breast cancer patients after surgery by extracting the clinicopathological features of tumors from unstructured clinical electronic health record (EHR) data.MethodsThis retrospecti...

Full description

Bibliographic Details
Main Authors: Lixuan Zeng, Lei Liu, Dongxin Chen, Henghui Lu, Yang Xue, Hongjie Bi, Weiwei Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Oncology
Subjects:
breast cancer
recurrence risk
LSTM
XGBoost
SVM
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1117420/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1117420/full

Similar Items