Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer
This study explored the application of explainable machine learning models to enhance breast cancer diagnosis using serum biomarkers, contrary to many studies that focus on medical images and demographic data. The primary objective was to develop models that are not only accurate but also provide in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
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| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/15/2/211 |
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