1. A computer-implemented method for determining a disease state of a patient, the method comprising: a processor accessing from a computer-readable non-transitory memory, computer-readable data representing a general graph having nodes of physiological conditions, wherein each of the physiological conditions is represented by each of the nodes, wherein each of the nodes is connected by one or more edges representing correlations between the nodes; the processor accessing from the computer-readable non-transitory memory, computer-readable data of physiological conditions of a patient; the processor executing computer-readable instructions for quantification of the physiological conditions of the patient; the processor transforming the physiological conditions of the patient to node data by performing quantification of the physiological conditions of the patient; the processor executing computer-readable instructions for associating the node data to the general graph; the processor creating an individualized graph by associating the node data to the general graph; the processor storing the individualized graph to the computer-readable non-transitory memory; the processor accessing from the computer-readable non-transitory memory, computer-readable data representing a topological module of nodes connected by edges, wherein the topological module represents the disease state; the processor executing computer-readable instructions for mapping the topological module representing the disease state to the individualized graph; the processor executing computer-readable instructions for determining a weight averaged value of the node data of the topological module of nodes; the processor determining the disease state of the patient from the weight averaged value; the processor executing computer-readable instructions for creating a new general graph by replacing all of the nodes inside the topological module in the general graph with a super node of the weight averaged value; and the processor storing the new general graph to the computer-readable non-transitory memory.