González-Castro, L.; Chávez, M.; Duflot, P.; Bleret, V.; Martin, A.G.; Zobel, M.; Nateqi, J.; Lin, S.; Pazos-Arias, J.J.; Del Fiol, G.;
et al. Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records. Cancers 2023, 15, 2741.
https://doi.org/10.3390/cancers15102741
AMA Style
González-Castro L, Chávez M, Duflot P, Bleret V, Martin AG, Zobel M, Nateqi J, Lin S, Pazos-Arias JJ, Del Fiol G,
et al. Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records. Cancers. 2023; 15(10):2741.
https://doi.org/10.3390/cancers15102741
Chicago/Turabian Style
González-Castro, Lorena, Marcela Chávez, Patrick Duflot, Valérie Bleret, Alistair G. Martin, Marc Zobel, Jama Nateqi, Simon Lin, José J. Pazos-Arias, Guilherme Del Fiol,
and et al. 2023. "Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records" Cancers 15, no. 10: 2741.
https://doi.org/10.3390/cancers15102741
APA Style
González-Castro, L., Chávez, M., Duflot, P., Bleret, V., Martin, A. G., Zobel, M., Nateqi, J., Lin, S., Pazos-Arias, J. J., Del Fiol, G., & López-Nores, M.
(2023). Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records. Cancers, 15(10), 2741.
https://doi.org/10.3390/cancers15102741
