Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction
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...
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| Main Authors: | Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2024-11-01
|
| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/19Ashika_EnhancedNeutrosophic.pdf |
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