Risk stratification in pulmonary arterial hypertension using Bayesian analysis.
Manreet K KanwarMardi Gomberg-MaitlandMarius M HoeperChristine PauschDavid PittrowGeoff StrangeJames J AndersonCarol ZhaoJacqueline V ScottMarek J DruzdzelJidapa KraisangkaLisa LohmuellerJames AntakiRaymond L BenzaPublished in: The European respiratory journal (2020)
Our Bayesian network-derived risk prediction model, PHORA, demonstrated an improvement in discrimination over existing models. This is reflective of the ability of Bayesian network-based models to account for the interrelationships between clinical variables on outcome, and tolerance to missing data elements when calculating predictions.