Cargando…
Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
BACKGROUND: Breast cancer disease is the most common cancer in US women and the second cause of cancer death among women. OBJECTIVES: To compare and evaluate the performance and accuracy of the key supervised and semi-supervised machine learning algorithms for breast cancer prediction. MATERIALS AND...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806524/ https://www.ncbi.nlm.nih.gov/pubmed/33489117 http://dx.doi.org/10.1016/j.amsu.2020.12.043 |