Cargando…
An effective up-sampling approach for breast cancer prediction with imbalanced data: A machine learning model-based comparative analysis
Early detection of breast cancer plays a critical role in successful treatment that saves thousands of lives of patients every year. Despite massive clinical data have been collected and stored by healthcare organizations, only a small portion of the data has been used to support decision-making for...
Autores principales: | Tran, Tuan, Le, Uyen, Shi, Yihui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140301/ https://www.ncbi.nlm.nih.gov/pubmed/35622821 http://dx.doi.org/10.1371/journal.pone.0269135 |
Ejemplares similares
-
An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
por: Kokkotis, Christos, et al.
Publicado: (2022) -
Sentimental analysis from imbalanced code-mixed data using machine learning approaches
por: Srinivasan, R., et al.
Publicado: (2021) -
Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition
por: Alharbi, Fayez, et al.
Publicado: (2022) -
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study
por: Werner de Vargas, Vitor, et al.
Publicado: (2022) -
Learning from imbalanced data sets
por: Fernández, Alberto, et al.
Publicado: (2018)