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A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632564/ https://www.ncbi.nlm.nih.gov/pubmed/37970604 http://dx.doi.org/10.21037/atm-23-689 |
| _version_ | 1785146139248427008 |
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| author | de Nonneville, Alexandre Boudin, Laurys Houvenaeghel, Gilles Gonçalves, Anthony Bertucci, François |
| author_facet | de Nonneville, Alexandre Boudin, Laurys Houvenaeghel, Gilles Gonçalves, Anthony Bertucci, François |
| author_sort | de Nonneville, Alexandre |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10632564 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | AME Publishing Company |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-106325642023-11-15 A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy de Nonneville, Alexandre Boudin, Laurys Houvenaeghel, Gilles Gonçalves, Anthony Bertucci, François Ann Transl Med Editorial Commentary | Data Sciences AME Publishing Company 2023-03-06 2023-10-25 /pmc/articles/PMC10632564/ /pubmed/37970604 http://dx.doi.org/10.21037/atm-23-689 Text en 2023 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
| spellingShingle | Editorial Commentary | Data Sciences de Nonneville, Alexandre Boudin, Laurys Houvenaeghel, Gilles Gonçalves, Anthony Bertucci, François A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title | A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title_full | A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title_fullStr | A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title_full_unstemmed | A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title_short | A machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| title_sort | machine learning-based algorithm to eliminate breast and axillary surgery in patients with breast cancer and pathological complete response after neoadjuvant chemotherapy |
| topic | Editorial Commentary | Data Sciences |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632564/ https://www.ncbi.nlm.nih.gov/pubmed/37970604 http://dx.doi.org/10.21037/atm-23-689 |
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