“…According to BN theory, if we assume a directed graph G with N nodes, each node n ∈ N has a number of paternal nodes pa(n) that may be linked with “child” nodes and the joint distribution for such a network given as follows:
By taking into consideration the latest calculations for the relative probabilities of AD progression due to certain brain lesions (Table 2) (Christen, 2000; de la Torre, 2002; Praticò et al, 2002; Modrego and Ferrández, 2004; Hooper et al, 2007; Cheung et al, 2008; Stone, 2008; Schuff et al, 2009; Snider et al, 2009; Wang et al, 2009; Israeli-Korn et al, 2010; Barnes and Yaffe, 2011; Nazem and Mansoori, 2011; Serrano-Pozo et al, 2011; Bird, 2012; Alzheimer's Association, 2015; Chakrabarty et al, 2015) and the majority of the published AD biomarkers (Albert et al, 2010, 2011; Besson et al, 2015; Cabezas-Opazo et al, 2015; Dong et al, 2015; Duce et al, 2015; Eskildsen et al, 2015; Jansen et al, 2015; Madeira et al, 2015; Michel, 2015; Nakanishi et al, 2015; Ossenkoppele et al, 2015; Østergaard et al, 2015; Quiroz et al, 2015; Ringman et al, 2015; Risacher et al, 2015; Sastre et al, 2015; Schindler and Fagan, 2015; Sutphen et al, 2015; Thordardottir et al, 2015; Cauwenberghe et al, 2016; Counts et al, 2016; Gaël et al, 2016; Yang et al, 2016) or calculating indirectly the relative probabilities, we designed a Bayesian model for the prediction of AD based on the abnormal testing of one or more biomarkers. The described probabilities were exported through major clinical trials globally and are continuously subject to updating and redefinition.…”