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Prediction of axillary lymph node pathological complete response to neoadjuvant therapy using nomogram and machine learning methods
PURPOSE: To determine the feasibility of predicting the rate of an axillary lymph node pathological complete response (apCR) using nomogram and machine learning methods. METHODS: A total of 247 patients with early breast cancer (eBC), who underwent neoadjuvant therapy (NAT) were included retrospecti...
Autores principales: | Zhou, Tianyang, Yang, Mengting, Wang, Mijia, Han, Linlin, Chen, Hong, Wu, Nan, Wang, Shan, Wang, Xinyi, Zhang, Yuting, Cui, Di, Jin, Feng, Qin, Pan, Wang, Jia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637839/ https://www.ncbi.nlm.nih.gov/pubmed/36353547 http://dx.doi.org/10.3389/fonc.2022.1046039 |
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