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...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 15 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
7/25/2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |