Explainable Multi-Class Classification Based on Integrative Feature Selection for Breast Cancer Subtyping

Explainable Multi-Class Classification Based on Integrative Feature Selection for Breast Cancer Subtyping

Breast cancer subtype classification is a multi-class classification problem that can be handled using computational methods. Three main challenges need to be addressed. Consider first the high dimensionality of the available datasets relative to the extremely small number of instances. Second, the...

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Bibliographic Details
Main Authors: Souham Meshoul, Ali Batouche, Hadil Shaiba, Shiekhah AlBinali
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
feature selection
multi-class classification
explainable AI
breast cancer sub-typing
multi-omics data
SHAP plots
Online Access:https://www.mdpi.com/2227-7390/10/22/4271

Internet

https://www.mdpi.com/2227-7390/10/22/4271

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