Bernasconi, A.; Zanga, A.; Lucas, P.J.F.; Scutari, M.; Di Cosimo, S.; De Santis, M.C.; La Rocca, E.; Baili, P.; Cavallo, I.; Verderio, P.;
et al. From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer. Cancers 2024, 16, 3643.
https://doi.org/10.3390/cancers16213643
AMA Style
Bernasconi A, Zanga A, Lucas PJF, Scutari M, Di Cosimo S, De Santis MC, La Rocca E, Baili P, Cavallo I, Verderio P,
et al. From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer. Cancers. 2024; 16(21):3643.
https://doi.org/10.3390/cancers16213643
Chicago/Turabian Style
Bernasconi, Alice, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Serena Di Cosimo, Maria Carmen De Santis, Eliana La Rocca, Paolo Baili, Ilaria Cavallo, Paolo Verderio,
and et al. 2024. "From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer" Cancers 16, no. 21: 3643.
https://doi.org/10.3390/cancers16213643
APA Style
Bernasconi, A., Zanga, A., Lucas, P. J. F., Scutari, M., Di Cosimo, S., De Santis, M. C., La Rocca, E., Baili, P., Cavallo, I., Verderio, P., Ciniselli, C. M., Pizzamiglio, S., Blanda, A., Perego, P., Vallerio, P., Stella, F., Trama, A., & The Ada Working Group.
(2024). From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer. Cancers, 16(21), 3643.
https://doi.org/10.3390/cancers16213643
