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Neutrosophic Machine Learning for Breast Cancer by Victor Hermann is a document available to read on EtoBox.

What is Neutrosophic Machine Learning for Breast Cancer about?

Breast cancer is the most prevalent type of cancer that affects women worldwide and poses a serious risk to female mortality. In order to lower death rates and enhance treatment results, early detection is critical. Neutrosophic Set Theory (NST) and machine learning (ML) approaches are integrated in this study to provide a novel hybrid methodology (NS-ML) that improves breast cancer diagnosis.

Author

Victor Hermann

Language

EN