Clinical prediction of pathological complete response in breast cancer: a machine learning study
Abstract Background This study aimed to develop and validate machine learning models to predict pathological complete response (pCR) after neoadjuvant therapy in patients with breast cancer patients. Methods Clinical and pathological data from 1143 patients were analyzed, encompassing variables such...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-14335-1 |
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