Order Article Reprints

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

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

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