Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection.
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 lymphedema and...
| Published in: | BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 15 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
BioMed Central
7/25/2022
|
| Online Access: | View this record in EBSCOhost |