Figure 2From: Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approachDecision tree for the diagnosis of AMD (dataset with mean/mode imputation for missing values). The tree is to be traversed downwards from the root node. The p-values are calculated according to a chi-square test and represent the discriminatory power of a variable in a data stratum as induced by the tree partition. Each final leaf node gives the probability of AMD diagnosis based on the prevalence in the population sub-stratum following the corresponding tree pathway induced by node splits on variable values.Back to article page