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Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011440/ https://www.ncbi.nlm.nih.gov/pubmed/32041655 http://dx.doi.org/10.1186/s13058-020-1255-4 |
| _version_ | 1783496067381198848 |
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| author | Giardiello, Daniele Antoniou, Antonis C. Mariani, Luigi Easton, Douglas F. Steyerberg, Ewout W. |
| author_facet | Giardiello, Daniele Antoniou, Antonis C. Mariani, Luigi Easton, Douglas F. Steyerberg, Ewout W. |
| author_sort | Giardiello, Daniele |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7011440 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-70114402020-02-14 Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction Giardiello, Daniele Antoniou, Antonis C. Mariani, Luigi Easton, Douglas F. Steyerberg, Ewout W. Breast Cancer Res Letter BioMed Central 2020-02-10 2020 /pmc/articles/PMC7011440/ /pubmed/32041655 http://dx.doi.org/10.1186/s13058-020-1255-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Letter Giardiello, Daniele Antoniou, Antonis C. Mariani, Luigi Easton, Douglas F. Steyerberg, Ewout W. Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title | Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title_full | Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title_fullStr | Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title_full_unstemmed | Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title_short | Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| title_sort | letter to the editor: a response to ming’s study on machine learning techniques for personalized breast cancer risk prediction |
| topic | Letter |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011440/ https://www.ncbi.nlm.nih.gov/pubmed/32041655 http://dx.doi.org/10.1186/s13058-020-1255-4 |
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