Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection

Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection

Abstract Background Breast cancer-related lymphedema is one of the most important complications that adversely affect patients' quality of life. Lymphedema can be managed if its risk factors are known and can be modified. This study aimed to select an appropriate model to predict the risk of ly...

Full description

Bibliographic Details
Main Authors: Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi, Shahpar Haghighat
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Breast cancer
Lymphedema
Data mining
Ensemble learning
Feature selection
Online Access:https://doi.org/10.1186/s12911-022-01937-z

Internet

https://doi.org/10.1186/s12911-022-01937-z

Similar Items