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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Breast Cancer Society 2023
Materias:
Original Article
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

Internet

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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