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...

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Autors principals:	Shin-Jye Lee, Ching-Hsun Tseng, Hui-Yu Yang, Xin Jin, Qian Jiang, Bin Pu, Wei-Huan Hu, Duen-Ren Liu, Yang Huang, Na Zhao
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-04-01
Col·lecció:	Entropy
Matèries:	classification Rotation Forest AdaBoost clinical decision support
Accés en línia:	https://www.mdpi.com/1099-4300/24/5/617
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