TY  - JOUR
AU  - López, Nahúm Cueto
AU  - García-Ordás, María Teresa
AU  - Vitelli-Storelli, Facundo
AU  - Fernandez-Navarro, Pablo L
AU  - Palazuelos, Camilo
AU  - Alaiz-Rodríguez, Rocío
PY  - 2021
DO  - 10.3390/ijerph182010670
UR  - http://hdl.handle.net/20.500.12105/14285
AB  - This study evaluates several feature ranking techniques together with some classifiers based on machine learning to identify relevant factors regarding the probability of contracting breast cancer and improve the performance of risk prediction models...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute (MDPI)
KW  - Breast cancer
KW  - Feature selection
KW  - Risk prediction model
KW  - Stability
TI  - Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction
TY  - journal article
ER  -