Cargando…
Classification Prediction of Breast Cancer Based on Machine Learning
Breast cancer is the most common and deadly type of cancer in the world. Based on machine learning algorithms such as XGBoost, random forest, logistic regression, and K-nearest neighbor, this paper establishes different models to classify and predict breast cancer, so as to provide a reference for t...
Autores principales: | Chen, Hua, Wang, Nan, Du, Xueping, Mei, Kehui, Zhou, Yuan, Cai, Guangxing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848804/ https://www.ncbi.nlm.nih.gov/pubmed/36688223 http://dx.doi.org/10.1155/2023/6530719 |
Ejemplares similares
-
Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Breast Cancer Survivors
por: Chang, Chi-Chang, et al.
Publicado: (2019) -
Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
por: Bhardwaj, Arpit, et al.
Publicado: (2022) -
Breast Cancer Type Classification Using Machine Learning
por: Wu, Jiande, et al.
Publicado: (2021) -
Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer
por: Xie, Tianwen, et al.
Publicado: (2019) -
Classification and Prediction of Skyrmion Material Based on Machine Learning
por: Liu, Dan, et al.
Publicado: (2023)