TY - JOUR AU - Giardiello, D. AU - Antoniou, A. C. AU - Mariani, L. AU - Easton, D. F. AU - Steyerberg, E. W. PY - 2020 DA - 2020// TI - Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction JO - Breast Cancer Res VL - 22 UR - https://doi.org/10.1186/s13058-020-1255-4 DO - 10.1186/s13058-020-1255-4 ID - Giardiello2020 ER - TY - JOUR AU - Ming, C. AU - Viassolo, V. AU - Probst-Hensch, N. AU - Chappuis, P. O. AU - Dinov, I. D. AU - Katapodi, M. C. PY - 2019 DA - 2019// TI - Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models JO - Breast Cancer Res VL - 21 UR - https://doi.org/10.1186/s13058-019-1158-4 DO - 10.1186/s13058-019-1158-4 ID - Ming2019 ER - TY - JOUR AU - Wang, X. AU - Huang, Y. AU - Li, L. AU - Dai, H. AU - Song, F. AU - Chen, K. PY - 2018 DA - 2018// TI - Assessment of performance of the Gail model for predicting breast cancer risk: a systematic review and meta-analysis with trial sequential analysis JO - Breast Cancer Res VL - 20 UR - https://doi.org/10.1186/s13058-018-0947-5 DO - 10.1186/s13058-018-0947-5 ID - Wang2018 ER - TY - JOUR AU - Steyerberg, E. W. AU - Harrell, F. E. AU - Borsboom, G. J. J. M. AU - Eijkemans, M. J. C. AU - Vergouwe, Y. AU - Habbema, J. D. F. PY - 2001 DA - 2001// TI - Internal validation of predictive models: efficiency of some procedures for logistic regression analysis JO - J Clin Epidemiol VL - 54 UR - https://doi.org/10.1016/S0895-4356(01)00341-9 DO - 10.1016/S0895-4356(01)00341-9 ID - Steyerberg2001 ER - TY - JOUR AU - Luo, W. AU - Phung, D. AU - Tran, T. AU - Gupta, S. AU - Rana, S. AU - Karmakar, C. PY - 2016 DA - 2016// TI - Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view JO - J Med Internet Res VL - 18 UR - https://doi.org/10.2196/jmir.5870 DO - 10.2196/jmir.5870 ID - Luo2016 ER - TY - BOOK AU - Niculescu-Mizil, A. AU - Caruana, R. PY - 2005 DA - 2005// TI - Predicting good probabilities with supervised learning. Proceedings of the 22nd international conference on Machine learning PB - Association for Computing Machinery CY - Bonn ID - Niculescu-Mizil2005 ER - TY - JOUR AU - Brinton, J. T. AU - Hendrick, R. E. AU - Ringham, B. M. AU - Kriege, M. AU - Glueck, D. H. PY - 2019 DA - 2019// TI - Improving the diagnostic accuracy of a stratified screening strategy by identifying the optimal risk cutoff JO - Cancer Causes Control VL - 30 UR - https://doi.org/10.1007/s10552-019-01208-9 DO - 10.1007/s10552-019-01208-9 ID - Brinton2019 ER -