Patent ID: 8335652

Claim:
A self-improving method of identifying class identifiers, comprising the steps of: analyzing biological specimens for one or more selected from the group consisting of proteomic information, genomic information and lipidomic information to generate profiles; using a sufficiently programmed computer performing the following steps: entering the profiles into a database stored by a computer; classifying the profiles stored by the computer in the database based on a set of class identifiers where classifying is based on a set of class identifiers in the profiles and generating a class table that classifies specimens based on a disease or condition, the class table being a vector that contains the quantity of the biological specimens having each class identifier from the set of class identifiers with the proviso that the vector does not indicate which specimen or profile contains specific class identifiers, said disease or condition selected from the group of heart conditions, myocardial infarction, and arrhythmias; determining if reclassification of the profiles is necessary subsequent to classifying profiles; refining class identifiers to generate a set of refined class identifiers using the class table and the profiles, where refining class identifiers comprises reading the class table, determining if a class identifier has a minimum quantity of specimens, and one or more of searching for new class identifiers, dropping unnecessary class identifiers, and modifying threshold values using a digital processor; reclassifying profiles, if necessary, using an algorithm based upon the refined set of class identifiers; calculating a specificity and sensitivity of classification of the set of refined class identifiers to determine if at least one of the refined class identifiers has a specificity and sensitivity of at least about 70%; and performing the refining class identifiers step and reclassifying profiles step in an iterative loop until at least one of the refined class identifiers has a specificity and sensitivity of at least about 70%.