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In conclusion, our study successfully employed three machine learning models to classify and predict axillary lymph node metastasis. These models provided precise and interpretable predictions, offering valuable assistance to doctors in tailoring treatment plans based on individual prognoses. By considering diverse patient factors, our models contribute to a comprehensive understanding of axillary lymph node involvement, facilitating personalized treatment strategies aligned with specific patient needs. This method represents a significant advancement in patient care, leveraging machine learning for tailored prognostic assessments. |
IEEE/ICACT20240384 Slide.13
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