Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction

Published version
Repository URI
https://www.repository.cam.ac.uk/handle/1810/306207
Repository DOI
https://doi.org/10.17863/CAM.53287
Files
13058_2020_Article_1255.pdf (220.28 KB)
13058_2020_Article_1255_nlm.xml (17.85 KB)
Type
Other
Change log
Authors
Giardiello, Daniele  ORCID logo  https://orcid.org/0000-0002-9005-9430
Antoniou, Antonis C. 
Mariani, Luigi 
Easton, Douglas F. 
Steyerberg, Ewout W. 
Description
Keywords
Letter
Is Part Of
Rights
Attribution 4.0 International (CC BY 4.0) Repository logo
Collections
Jisc Publications Router