Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification
Abstract The yearly incidence of breast cancer, which is already among the highest of all cancers, is steadily rising. Without surgical biopsy, predicting the benign or malignant nature of tumors by analyzing various indicators of cell nuclei can effectively assist doctors in diagnosis and reduce pa...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07390-7 |
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