Figure 1

Flow diagram of the comoR software. Step 1: comoR takes as input preliminary diagnosis data of a patient. Step 2: It preprocesses and updates required databases, performs statistical computation (hypergeometric and semantic similarity tests), and calculates relative risks and ϕ-correlation (Pearsons correlation for binary variables) between diseases. Step 3: Comorbidity scores and disease network are provided as a result to the user. Step 4: Causal inference graphical models with the R package pcalg. Step 5: Visualisation of the comorbidity map and survival probability of patient considering comorbidity4. This map could be extended to incorporate diet and exercise as in [9]. Symbols D, g, P and DOID are used to indicate disease, gene, pathway and disease ontology id respectively.