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Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer
PURPOSE: Several predictive models have been developed to predict the pathological complete response (pCR) after neoadjuvant chemotherapy (NAC); however, few are broadly applicable owing to radiologic complexity and institution-specific clinical variables, and none have been externally validated. Th...
Autores principales: | Jung, Ji-Jung, Kim, Eun-Kyu, Kang, Eunyoung, Kim, Jee Hyun, Kim, Se Hyun, Suh, Koung Jin, Kim, Sun Mi, Jang, Mijung, Yun, Bo La, Park, So Yeon, Lim, Changjin, Han, Wonshik, Shin, Hee-Chul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Breast Cancer Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475713/ https://www.ncbi.nlm.nih.gov/pubmed/37272242 http://dx.doi.org/10.4048/jbc.2023.26.e14 |
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