Cargando…
A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases from big data. The algorithm comprises a two-stage hybrid feature selection. In the first stage, an overall ranker is...
Autores principales: | Elemam, Tarneem, Elshrkawey, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381276/ https://www.ncbi.nlm.nih.gov/pubmed/35983572 http://dx.doi.org/10.1155/2022/1056490 |
Ejemplares similares
-
A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization
por: Mejahed, Sara, et al.
Publicado: (2022) -
Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm
por: Li, Xiaohua, et al.
Publicado: (2021) -
Design of feature selection algorithm for high-dimensional network data based on supervised discriminant projection
por: Zhang, Zongfu, et al.
Publicado: (2023) -
A Hybrid Feature Subset Selection Algorithm for Analysis of High Correlation Proteomic Data
por: Kordy, Hussain Montazery, et al.
Publicado: (2012) -
Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection
por: Chantar, Hamouda, et al.
Publicado: (2021)