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

MLA

Giardiello, Daniele, et al. “Letter to the Editor: A Response to Ming’s Study on Machine Learning Techniques for Personalized Breast Cancer Risk Prediction.” Breast Cancer Research : BCR, vol. 22, no. 1, Feb. 2020, p. 17. EBSCOhost, https://doi.org/10.1186/s13058-020-1255-4.

APA

Giardiello, D., Antoniou, A. C., Mariani, L., Easton, D. F., & Steyerberg, E. W. (2020). Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction. Breast Cancer Research : BCR, 22(1), 17. https://doi.org/10.1186/s13058-020-1255-4

Chicago

Giardiello, Daniele, Antonis C Antoniou, Luigi Mariani, Douglas F Easton, and Ewout W Steyerberg. 2020. “Letter to the Editor: A Response to Ming’s Study on Machine Learning Techniques for Personalized Breast Cancer Risk Prediction.” Breast Cancer Research : BCR 22 (1): 17. doi:10.1186/s13058-020-1255-4.