On Counterfactual Explanations of Cardiovascular Risk in Adolescent and Young Adult Breast Cancer Survivors.

ABSTRACT: Cancer treatments might lead to several long-term effects. In this work we investigate their causal role on ischemic heart disease and their potential precursors (i.e. hypertension and dyslipidemia) of the ovarian suppression therapy in adolescent and young adult (AYA) breast cancer (BC) survivors. Additionally, we assess the external validity of our findings through comparative analysis of regional data. We take advantage of a causal network model that leverage on observational data on 1-year AYA BC survivors living the Lombardy region in Italy. Using a structural causal model (SCM) and counterfactual analysis within Pearl's causal inference framework, we estimate the Average Causal Effect (ACE), Probability of Necessity (PN), and Probability of Sufficiency (PS) for the cause-effect relat

SUBMITTER: Balordi A 

PROVIDER: S-EPMC12532745 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature