edoc

Browse by Basel Contributors ID

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type | Refereed | No Grouping
Jump to: Article | Thesis

Article

Ming, Chang and Viassolo, Valeria and Probst-Hensch, Nicole and Chappuis, Pierre O. and Dinov, Ivo D. and Katapodi, Maria C.. (2019) Machine learning techniques for personalized breast cancer risk prediction : comparison with the BCRAT and BOADICEA models. Breast Cancer Research, 21. p. 75.

Thesis

Ming, Chang. Machine Learning and Personalized Breast Cancer Risk Prediction. 2020, Doctoral Thesis, University of Basel, Faculty of Medicine.