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: Yes

Yes

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.

edoc is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton.