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Letter to the editor: a response to Ming's study on machine learning techniques for personalized breast cancer risk prediction.
- Source :
-
Breast cancer research : BCR [Breast Cancer Res] 2020 Feb 10; Vol. 22 (1), pp. 17. Date of Electronic Publication: 2020 Feb 10. - Publication Year :
- 2020
- Subjects :
- Breast
Humans
Machine Learning
Risk
Breast Neoplasms
Subjects
Details
- Language :
- English
- ISSN :
- 1465-542X
- Volume :
- 22
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Breast cancer research : BCR
- Publication Type :
- Editorial & Opinion
- Accession number :
- 32041655
- Full Text :
- https://doi.org/10.1186/s13058-020-1255-4