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...

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Detalles Bibliográficos
Autores principales: Yaghoobi Notash, Anaram, Yaghoobi Notash, Aidin, Omidi, Zahra, Haghighat, Shahpar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310496/
https://www.ncbi.nlm.nih.gov/pubmed/35879760
http://dx.doi.org/10.1186/s12911-022-01937-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310496/
https://www.ncbi.nlm.nih.gov/pubmed/35879760
http://dx.doi.org/10.1186/s12911-022-01937-z

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