Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction | Breast Cancer Research | Full Text

Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction | Breast Cancer Research | Full Text

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

Authors:Daniele Giardiello, Antonis C. Antoniou, Luigi Mariani, Douglas F. Easton and Ewout W. Steyerberg

Citation:Breast Cancer Research 2020 22:17

Content type:Letter

Published on: 10 February 2020

The original article was published in Breast Cancer Research 2019 21:75

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