1. A method for evaluating medical data of a person to identify, if any, at-risk medical conditions, comprising: obtaining with a computer the medical data, said medical data having features of at least one of various medical conditions, at least some of the features of said medical data having values; accessing from a memory a medical knowledgebase having a plurality of feature-sets relating to the various medical conditions, each of the plurality of feature-sets having a group of highly-associated features relating to particular ones of the various medical conditions, at least some of said highly-associated features having ranges of values; determining with the computer a subset of the plurality of feature-sets by correlating at least two of the features of the medical data with at least two of said highly-associated features of each of the feature-sets in the subset thereby transforming knowledge of the features of the medical data to metadata in the form of the group of transformed highly-associated features of each of the feature-sets in the subset; comparing with the computer whether the features of the medical data are one of normal or abnormal and magnitudes of values of the medical data are within the ranges of values of the transformed highly-associated features which are normal or abnormal to interpret relative to a standard so as to identify, if any, at-risk medical conditions of said person, and outputting from the computer information relating to the at-risk medical condition.