From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer.

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Title: From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer.
Authors: Bernasconi, Alice1,2 (AUTHOR) a.zanga3@campus.unimib.it, Zanga, Alessio2,3 (AUTHOR) fabio.stella@unimib.it, Lucas, Peter J. F.4 (AUTHOR) p.j.f.lucas@utwente.nl, Scutari, Marco5 (AUTHOR) scutari@bnlearn.com, Di Cosimo, Serena6 (AUTHOR) serena.dicosimo@istitutotumori.mi.it, De Santis, Maria Carmen7 (AUTHOR) mariacarmen.desantis@istitutotumori.mi.it, La Rocca, Eliana8 (AUTHOR) eliana.larocca@aovr.veneto.it, Baili, Paolo9 (AUTHOR) paolo.baili@istitutotumori.mi.it, Cavallo, Ilaria10 (AUTHOR) ilaria.cavallo@istitutotumori.mi.it, Verderio, Paolo11 (AUTHOR) paolo.verderio@istitutotumori.mi.it, Ciniselli, Chiara M.11 (AUTHOR) chiara.ciniselli@istitutotumori.mi.it, Pizzamiglio, Sara11 (AUTHOR) sara.pizzamiglio@istitutotumori.mi.it, Blanda, Adriana11 (AUTHOR) adriana.blanda@istitutotumori.mi.it, Perego, Paola12 (AUTHOR) paola.perego@istitutotumori.mi.it, Vallerio, Paola13 (AUTHOR) paola.vallerio@istitutotumori.mi.it, Stella, Fabio2 (AUTHOR), Trama, Annalisa1 (AUTHOR)
Source: Cancers. Nov2024, Vol. 16 Issue 21, p3643. 14p.
Database: Academic Search Ultimate
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