10. The one or more non-transitory memory devices of claim 9 , wherein the computer instructions are further configured to perform the steps of weighting each of the at least one relationships and each of the additional relationships with a weighting value reflecting the strength of each relationship and additional relationship; determining a minimum threshold weighting value; and terminating the iterative growth of any network node in which the weighting between the relationships and the additional relationships do not satisfy the minimum threshold weighting value.
9. One or more non-transitory electronic memory devices including computer instructions for performing a method for processing natural language, the computer instructions being configured to perform the steps of: providing access to a clinical text containing natural language; tagging parts of speech in the clinical text; recognizing known words in the clinical text; creating a semantic network, the semantic network including at least one of the recognized known words and at least one relationship with at least one semantic concept associated with at least one of the recognized known words; and supplementing the semantic network by iteratively adding additional concepts and additional relationships to the semantic network until a termination requirement is met, each additional concept being associated with at least a prior one of the concepts and additional concepts in the semantic network by a respective additional relationship, at least one of the additional concepts being an episodic concept separate from the at least one semantic concept.