Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support

In the era of bathing in big data, it is common to see enormous amounts of data generated daily. As for the medical industry, not only could we collect a large amount of data, but also see each data set with a great number of features. When the number of features is ramping up, a common dilemma is a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Shin-Jye, Tseng, Ching-Hsun, Yang, Hui-Yu, Jin, Xin, Jiang, Qian, Pu, Bin, Hu, Wei-Huan, Liu, Duen-Ren, Huang, Yang, Zhao, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140905/
https://www.ncbi.nlm.nih.gov/pubmed/35626502
http://dx.doi.org/10.3390/e24050617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140905/
https://www.ncbi.nlm.nih.gov/pubmed/35626502
http://dx.doi.org/10.3390/e24050617

Ejemplares similares