16. A system for use of a medical ontology for computer assisted clinical decision support, the system comprising: a memory operable to store a machine-learnt algorithm, the machine-learnt algorithm integrating a multi-level medical ontology, the multi-level medical ontology having a hierarchal node structure defining relative contribution of features at different levels of the multi-level medical ontology; and a processor operable to apply the machine-learnt algorithm to a medical record of a patient.
16. A system for use of a medical ontology for computer assisted clinical decision support, the system comprising: a memory operable to store a machine-learnt algorithm, the machine-learnt algorithm integrating a multi-level medical ontology, the multi-level medical ontology having a hierarchal node structure defining relative contribution of features at different levels of the multi-level medical ontology; and a processor operable to apply the machine-learnt algorithm to a medical record of a patient. 18. The system of claim 16 wherein the multi-level medical ontology includes features with common semantics for a first type of node and second types of nodes connected with at least a first type of node, and wherein the processor is operable to aggregate a contribution of the features for each of the first types of nodes, and aggregate a contribution of the contributions of the first types of nodes for each of the second types of nodes.